Impulse Noise Research Papers - Academia.edu (original) (raw)

2025

This paper presented a study of three algorithms, the equalization algorithm to equalize the transmission channel with ZF and MMSE criteria, application of channel Bran A, and adaptive filtering algorithms LMS and RLS to estimate the parameters of the equalizer filter, i.e. move to the channel estimation and therefore reflect the temporal variations of the channel, and reduce the error in the transmitted signal. So far the performance of the algorithm equalizer with ZF and MMSE criteria both in the case without noise, a comparison of performance of the LMS and RLS algorithm.

2025

By normalizing the values of its pixels with respect to the length of the gray scale used, a monochromatic image is interpreted as a fuzzy relation R. We find the GEFS (resp. SEFS) of R, that is the greatest (resp. smallest) eigen fuzzy set with respect to the max-min (resp. min-max) operator. The reconstruction of R is achieved via a genetic algorithm whose initial population of chromosomes is formed by random gray images. The fitness function is based on the GEFS and SEFS of R and of each i mage-chromosome: t he r econstructed i mage i s t he image-chromosome with the highest fitness v alue. I n o ur tests w e h ave u sed 3 50 i mages o f s izes 2 56 × 256 ex tracted f rom t he S IDBA i mage d ataset consisting of 10000 images (www.cs.cmu.edu/~cil/ vision.html).

2025, Menoufia Journal of Electronic Engineering Research

2025, Fuzzy Sets and Systems

A new fuzzy image filter controlled by interval-valued fuzzy sets (IVFS) is proposed for removing noise from images. The proposed approach is based on IVFS entropy application. IVFS makes it possible to take into account the total uncertainty inherent to image processing, and particularly noise removal is considered. Interval-valued fuzzy sets entropy is used as a tool to perform histogram analysis in order to find all major homogeneous regions at the first stage. Then, an efficient peak-finding algorithm is employed to identify the most significant peaks of the histogram (1) and a noise filtering process (2) that estimates the original value of each noisy pixel (utilizing the global information from (1) and the local information of the image pixels) is proposed. Experimental results have demonstrated that the proposed filter can outperform some well-known classical and fuzzy filters in preserving image details while suppressing impulse noise and reducing Gaussian noise. The main advantage of the proposed technique is to restrict the number of thresholds or parameters which have to be tuned.

2025, cerc.wvu.edu

No-reference image quality assessment needs no prior knowledge of reference image. A new fuzzy image quality measure (built from interval type-2 fuzzy sets (IFS2)) is compared with experimental psycho-visual data. The proposed measure is based on IFS2 entropy applied on synthetic images. A recently performed psycho-visual experiment provides psycho-visual scores on some synthetic images, and comprehensive testing demonstrates the good consistency between these scores and the quality measures we obtain. The proposed measure has been too compared with full-reference quality measures (or faithfullness measures) like SSIM and gives satisfactory performance.

2025, Global Journal of Research in Engineering

Digital signal processing techniques have gained steadily in importance over the past
few years in many areas of science and engineering and have transformed the character of
instrumentation used in laboratory and plant. This is particularly marked in acoustics, which has
both benefited from the developments in signal processing and provided significant stimulus for
these developments. As a result acoustical techniques are now used in a very wide range of
applications and acoustics is one area in which digital signal processing is exploited to its limits.
For example, the development of fast algorithms for computing Fourier transforms and the
associated developments in hardware have led to remarkable advances in the use of spectral
analysis as a means of investigating the nature and characteristics of acoustic sources. Speech
research has benefited considerably in this respect, and, in a rather more technological
application, spectral analysis of machinery noise provides information about changes in machine
condition which may indicate imminent failure. More recently the observation that human and
animal muscles emit low intensity noise suggests that spectral analysis of this noise may yield
information about muscle structure and performance.

2025, Computers & Electrical Engineering

A new image denoising algorithm is proposed to restore digital images corrupted by impulse noise. It is based on two dimensional cellular automata (CA) with the help of fuzzy logic theory. The algorithm describes a local fuzzy transition rule which gives a membership value to the corrupted pixel neighborhood and assigns next state value as a central pixel value. The proposed method removes the noise effectively even at noise level as high as 90%. Extensive simulations show that the proposed algorithm provides better performance than many of the existing filters in terms of noise suppression and detail preservation. Also, qualitative and quantitative measures of the image produce better results on different images compared with the other algorithms.

2025, IEEE Communications Magazine

This article rcports on the performance of audio, video, multimedia, and othcr high-datarate in-home networking applications. Thc article starts by describing the pioblems encountered in power linc communication channcls in terms of frequency response and noise characteristics, and explains how in-home power line LANs can he cxtended to the neighborhood transformer. OFDM physical layers providing speeds of 45 Mbis and 200 Mbis as well as QoS and security arc introduccd. Finally, thc results of large tests involving several thousands of n o d e s a r e described.

2025

Los métodos de medida de la exposición a altos niveles sonoros están orientados fundamentalmente al ámbito laboral, sin embargo la escucha de música en reproductores personales es una fuente de exposición cuyo análisis necesitaría de otros instrumentos. Presentamos el diseño de un sistema capaz de analizar y evaluar esta exposición usando varios métodos: los auriculares personales del reproductor sobre un HATS diseñado al efecto o bien unos auriculares calibrados y dotados de micrófonos para medir los niveles sonoros, más un sistema de análisis de las señales. El resultado es un sistema que en base a la información facilitada por el individuo a prueba y el análisis normativo de la señal es capaz de estimar sus pérdidas auditivas. Se aporta un nuevo instrumento de medida útil en todos los ámbitos, desde el caso de los reproductores personales a cualquier otra situación sin la presencia de la persona afectada.

2025, Traitement Du Signal

In the field of image processing, removing impulse noise has been regarded as one of the most important tasks, primarily because of the noise pattern it presents. Existing filters used the effect of only those non-noisy pixels which were present inside the specified windows ignoring the effect of the non-noisy pixels present in the surrounding windows. So, the least distant non-noisy pixels in the present window as well as in the surrounding windows may have an influence on the present window's noisy pixels. Hence, considering the above factors, in this paper, a two-step technique named KMDCIFF (K-medoid clustering identified fuzzy filter) is proposed for removing impulse noise from digital images. In the proposed KMDCIFF algorithm, the first step is noise detection using K-medoid clustering, followed by a fuzzy logic-acquainted noise reduction strategy that utilizes the least distant local and non-local non-noisy pixels for removal operation. The detection process involves the application of K-medoid clustering on all 5×5 windows produced by centering each pixel of the considered image. In order to remove noise, a 7×7 window is constructed with each detected noisy pixel in the center. Analyzing the impact of the least distant local and nonlocal pixel on each noisy pixel, the same is replaced by an estimated pixel's intensity value obtained from the most influential non-noisy pixels. KMDCIFF is evaluated using wellknown metrics for diverse types of images. At a high noise density of 80%, KMDCIFF exhibited significant peak-signal-to-noise-ratios (PSNRs) of 26.97 dB and 29.67 dB and structural similarity indexes (SSIMs) of 0.8045 and 0.9288 on random and fixed valued impulse noise impacted Lena image, respectively. Comparing the results of the contemporary study to those of previous studies of a similar kind in this sector, the results are unswervingly astounding.

2025, Engineering, Technology & Applied Science Research

Removal of random valued noisy pixel is extremely challenging when the noise density is above 50%. The existing filters are generally not capable of eliminating such noise when density is above 70%. In this paper a region wise density based detection algorithm for random valued impulse noise has been proposed. On the basis of the intensity values, the pixels of a particular window are sorted and then stored into four regions. The higher density based region is considered for stepwise detection of noisy pixels. As a result of this detection scheme a maximum of 75% of noisy pixels can be detected. For this purpose this paper proposes a unique noise removal algorithm. It was experimentally proved that the proposed algorithm not only performs exceptionally when it comes to visual qualitative judgment of standard images but also this filter combination outsmarts the existing algorithm in terms of MSE, PSNR and SSIM comparison even up to 70% noise density level.

2025, IEEE Transactions on Communications

Channel coding for an impulse noise environment modeled as a Cauchy-Gaussian mixture is addressed. Code design based on the pairwise probability of error indicates the suitability of Hamming distance as a primary determinant of performance. Simulation results of code performance for the maximum likelihood (ML) and several suboptimal metrics are presented.

2025

The paper presents a comparative study of performance of 2D vector median filters which calculate in various color coordinates the distances between the vectors corresponding to pixels of color images. The paper deals with the problem of the best choice of the color space for vector median calculations. The problem is considered for the task of restoration of color images corrupted with impulse noise. The comparison has been made experimentally, using 4 test images and 3 types of impulse noise. The results have been evaluated by consideration of quadratic errors in the Munsell space as well as by comparing their subjective quality.

2025, Lecture notes in electrical engineering

2025, International Journal of Computer Applications

Digital images are often affected by impulse noise during image acquisition and/or transmission over communication channel. A Neural Based Post Processing Technique for Image Quality Enhancement (NBPPTIQE) for enhancing digital images corrupted by impulse noise is proposed in this paper. The proposed filter is an intelligent filter obtained by aptly combining a Nonlinear Filter (NF), Modified Canny Edge Detector (MCED) and a Feed forward Adaptive Neural (FAN) Network. The internal parameters of the Feed Forward Neural Network are adaptively optimized by training of well known images. The most distinctive feature of the proposed filter offers good line, edge, and fine detail preservation performance and also effectively removes impulse noise from the image. Extensive simulation results show that the proposed Post Processing Technique can be used for efficient enhancement of digital images corrupted by impulse noise without distorting useful information in the image. The performance of proposed filter is compared with median based filter and Neural Filter and shown to be more effective in terms of eliminating impulse noise and preserving edges and fine details of digital images.

2025, International Journal of Computer Applications

Asymmetric Trimmed Median Filter for Image denoising is proposed in this paper. This technique can be used for restoring the images extremely corrupted with random valued impulse noise. This paper introduces an impulse detection technique and decision based median filter for restoring the corrupted images. The detection technique is used for discriminating between corrupted and uncorrupted image pixels. The corrupted pixels are restored using Asymmetric trimmed median filter. The performance of the proposed restoring scheme is evaluated with random valued impulse noise for different test images. Simulation results show that this method is significantly better than a number of existing techniques in terms of image restoration and noise detection.

2025, International Journal of Computer Applications Technology and Research

A neural filtering technique is proposed in this paper for restoring the images extremely corrupted with random valued impulse noise. The proposed intelligent filter is carried out in two stages. In first stage the corrupted image is filtered by applying an asymmetric trimmed median filter. An asymmetric trimmed median filtered output image is suitably combined with a feed forward neural network in the second stage. The internal parameters of the feed forward neural network are adaptively optimized by tr aining of three well known images. This is quite effective in eliminating random valued impulse noise. Simulation results show that the proposed filter is superior in terms of eliminating impulse noise as well as preserving edges and fine details of digital ima ges and results are compared with other existing nonlinear filters.

2025

One of the main concerns of evolvable and adaptive systems is the need of a training mechanism, which is normally done by using a training reference and a test input. The fitness function to be optimized during the evolution (training) phase is obtained by comparing the output of the candidate systems against the reference. The adaptivity that this type of systems may provide by re-evolving during operation is especially important for applications with runtime variable conditions. However, fully automated self-adaptivity poses additional problems. For instance, in some cases, it is not possible to have such reference, because the changes in the environment conditions are unknown, so it becomes difficult to autonomously identify which problem requires to be solved, and hence, what conditions should be representative for an adequate re-evolution. In this paper, a solution to solve this dependency is presented and analyzed. The system consists of an image filter application mapped on an evolvable hardware platform, able to evolve using two consecutive frames from a camera as both test and reference images. The system is entirely mapped in an FPGA, and native dynamic and partial reconfiguration is used for evolution. It is also shown that using such images, both of them being noisy, as input and reference images in the evolution phase of the system is equivalent or even better than evolving the filter with offline images. The combination of both techniques results in the completely autonomous, noise type/level agnostic filtering system without reference image requirement described along the paper.

2025, International Journal of Smart Electrical Engineering

Partial Discharge (PD) is the most important source of insulation degradation in power transformers. In order to prevent catastrophic failures in transformers, PDs need to be located as soon as possible so that maintenance measures can be taken in time. Due to the structural complexity of windings, locating the PD source inside a transformer winding is not a simple task. In this paper, the efficacy of the proposed Frequency Response Assurance Criterion (FRAC) correlation technique for finding the location of a PD source in a transformer winding is evaluated and compared with two well-known correlation techniques in this regard, that are Time domain correlation and KullbackLeibler divergence. The responses of the winding to PD pulses, generated by Heidler function, of known pulse duration applied in parallel along the whole sections of the winding are considered as the reference data. In addition, the captured responses of the winding generated by injecting the PD pulses of arbitrary...

2025

In this paper a novel method for effectively denoising the extremely corrupted image by fixed value impulse noise using robust estimation based filter is proposed. The proposed algorithm classifies the pixels of localized window in to "corrupted" or "uncorrupted" and removes only corrupted pixels by robust estimation or by mean of the processed neighboring pixels. It is shown that the proposed filter effectively removes the impulse noise while preserving the good image quality. The visual and quantitative results prove that the performance of proposed filter in the preservation of edges and details is better even at noise level as high as 95%.

2025, Proceedings of SPIE

Future NASA exploration missions will increasingly require sampling, in-situ analysis and possibly the return of material to Earth for further tests. One of the challenges to addressing this need is the ability to drill using for low axial loading while operating from light weight platforms (e.g., lander, rover, etc.) as well as operate at planets with low gravity. For this purpose, the authors developed the Ultrasonic/Sonic Driller/Corer (USDC) jointly with Cybersonics Inc. Studies of the operation of the USDC at high power have shown there is a critical need to self-tune to maintain the operation of the piezoelectric actuator at resonance. Performing such tuning is encountered with difficulties and to address them an extremum-seeking control algorithm is being investigated. This algorithm is designed to tune the driving frequency of a time-varying resonating actuator subjected to both random and high-power impulsive noise disturbances. Using this algorithm the performance of the actuator is monitored on a time-scale that is compatible with its slowly time-varying physical characteristics. The algorithm includes a parameter estimator, which estimates the coefficients of a function that characterizes the quality factor of the USDC. Since the parameter estimator converges sufficiently faster than the time-varying drift of the USDC's physical parameters, the proposed extremum-seeking estimation and control algorithm is potentially applicable for use as a closed-loop health monitoring system. Specifically, this system may be programmed to automatically adjust the duty-cycle of the sinusoidal driver signal to guarantee that the quality factor of the USDC does not fall below a user-defined set-point. Such fault-tolerant functionality is especially important in automated drilling applications where it is essential not to inadvertently drive the piezoelectric ceramic crystals of the USDC beyond their capacities. The details of the algorithm and experimental results will be described and discussed in this paper.

2025, Journal of Ambient Intelligence and Humanized Computing

This paper presents a new algorithm for the denoising of images corrupted with random-valued impulse noise (RVIN). It employs a switching approach that identifies the noisy pixels in the first stage and then estimates their intensity values to restore them. Local statistics of the textons in distinct orientations of the sliding window are exploited to identify the corrupted pixels in an iterative manner; using an adaptive threshold range. Textons are formed by using an isometric grid of minimum local distance that preserves the texture and edge pixels of an image, effectively. At the noise filtering stage, fuzzy rules are used to obtain the noise-free pixels from the proposed tridirectional pixels to estimate the intensity values of identified corrupted pixels. The performance of the proposed denoising algorithm is evaluated on a variety of standard gray-scale images under various intensities of RVIN by comparing it with state-of-the-art denoising methods. The proposed denoising algorithm also has robust denoising and restoration power on biomedical images such as, MRI, X-Ray and CT-Scan. The extensive simulation results based on both quantitative measures and visual representations depict the superior performance of the proposed denoising algorithm for various noise intensities.

2025, Indonesian Journal of Electrical Engineering and Computer Science

Impulsive Noise is the sudden burst noise of short duration. Mostly it causes by electronic devices and electrosurgical noise in biomedical signals at the time of acquisition. In this work, Electrocardiograph (ECG) signal is considered and tried to remove impulsive noise from it. Impulsive noise in ECG signal is random type of noise. The objective of this work is to remove the noise using different adaptive algorithms and comparison is made among those algorithms. Initially the impulsive noise in sinusoidal signal is synthesized and tested for different algorithms like LMS, NLMS, RLS and SSRLS. Further those algorithms are modified in a new way to weight variation. The proposed novel approach is applied in the corrupted ECG signal to remove the noise. The effectiveness of the proposed approach is verified for ECG signal with impulsive noise as compared to the traditional approaches as well as previously proposed approaches. Also the performance of our approach is validated by SNR co...

2025

Elimination of noise is a necessary and challengeable operation in image processing. Before performing any operation, images have to be first restored. Images are corrupted by noise during image acquirement and transmission. Noise and blurring effects always corrupts any recorded image. To reduce the impulse noise level in digital images a novel algorithm FSM(Fuzzy Switching Median) filter is proposed in this paper .In this algorithm first phase is used to detect the impulse noise using clustered based approach, which works as impulse noise detector. And the second phase which is also called as filtering phase replaces the detected noise pixel, which also includes fuzzy reasoning to deal with uncertainties present in local information FSM, is capable of filtering all types of impulse noise.

2025, IEEE Antennas and Wireless Propagation Letters

This letter presents a new adaptive beamforming approach, against arbitrary algebraically tailed impulse noise of otherwise unknown statistics. (This includes all symmetric -stable noises with infinite variance or even infinite mean.) This new beamformer iteratively minimizes the "geometric power" of the beamformer's output Y , subject to a prespecified set of linear constraints. This geometric power is defined in terms of the "logarithmic moment" Eflog jY jg, as an alternative to the customary "fractional lower order moments" (FLOM). This logarithmic-moment beamformer offers these advantages over the FLOM beamformer: 1) simpler computationally in general, 2) needing no prior information nor estimation of the numerical value of the impulse noise's effective characteristic exponent, and 3) applicable to a wider class of heavy-tailed impulse noises.

2025, European Journal of Pure and Applied Mathematics

In most applications, denoising image is fundamental to subsequent image processing operations. In this research, we derivation a new formula of conjugate gradient methods based on the quadratic model. The fact that the search direction created at each iteration of the proposed approach is descending and independent of the line search makes it interesting. The use of Wolfe conditions also determines the global convergence of the suggested approach. To prove the viability of the suggested approach, comparison tests on impulse noise reduction are given.

2025, Journal of Occupational Medicine and Toxicology

Background: Exposure to continuous and impulse noise can induce a hearing loss. Leupeptin is an inhibitor of the calpains, a family of calcium-activated proteases which promote cell death. The objective of this study is to assess whether Leupeptin could reduce the hearing loss resulting from rifle impulse noise. Methods: A polyethelene tube was implanted into middle ear cavities of eight fat sand rats (16 ears). Following determination of auditory nerve brainstem evoked response (ABR) threshold in each ear, the animals were exposed to the noise of 10 M16 rifle shots. Immediately after the exposure, saline was then applied to one (control) ear and non-toxic concentrations of leupeptin determined in the first phase of the study were applied to the other ear, for four consecutive days. Results: Eight days after the exposure, the threshold shift (ABR) in the control ears was significantly greater (44 dB) than in the leupeptin ears (27 dB). Conclusion: Leupeptin applied to the middle ear cavity can reduce the hearing loss resulting from exposure to impulse noise.

2025, Journal of Occupational Medicine and Toxicology

2025, Procedings of the ICA

The sound in the McPherson Recital Room has a late decay that is readily audible as terminal reverberation in pauses in the music but is masked by running music. We present measurement of sound decays in the McPherson Recital Room and a modification to the implementation of Schroeder's EDC that was necessary to reveal audible sound decay phenomena that are otherwise below the raw EDC noise floor. The results from questionnaires completed by listeners hearing a live music performance in the McPherson Room with and without the acoustic banners extended show that the subjective quality "Clarity" correlates adequately with C80 and the subjective quality "Reverberance" seems to correlate with various T60 measurements. The decay can be approximated as a sum of two exponentials with banners retracted but not when the banners are extended. Edwards' approach to the coupled chamber in the McPherson Room at the University of St Andrews differs significantly from coupled volumes in his earlier auditoria. The design process included acoustic simulations. This enabled the Client to proceed with confidence in the acoustic design with a reverberation chamber that was without precedent. The sound in the room has a prominently audible double slope that musicians find very satisfying.

2025, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

We present the Fuzzy Directional (FD) filter to remove impulse noise from corrupted colour images. Simulation results have shown that the restoration performance is better in comparison with other known filters.

2025, Lecture Notes in Computer Science

We present novel algorithms to suppress impulsive noise in video color sequences. They use order statistics, directional and adaptive processing techniques. Extensive simulation results in known reference video color sequences have demonstrated that the proposed filters consistently outperform other filters by balancing the tradeoff between noise suppression, detail preservation, and chromaticity characteristics. The criteria used to compare the performance or various filters were the PSNR, MAE, and NCD.

2025, arXiv: Signal Processing

Smart grid is an energy infrastructure that increases energy efficiency by using communication infrastructure, smart meters, smart appliances, automated control and networking, and more. This paper focuses on the Power Line Communication (PLC) aspect and technologies used in the smart grid. There are various challenges and advancements in the smart grid; this research discusses how PLC can improve smart grid performance. In order to provide applicable results, practical PLC system parameters and other required data was obtained from Florida Power and Light (FPL). Modeling of the PLC system with different types of digital modulations was conducted using MATLAB/Simulink software and Python. The benefits and design tradeoffs of Amplitude Shift Keying (ASK), Frequency Shift Keying (FSK), and Phase Shift Keying (PSK) are discussed. The modulation schemes are compared on the basis of their applicability to a practical PLC network by comparing the results of the simulations

2025, IEEE Journal of Quantum Electronics

2025, NSIP

An approach to synthesis of adaptive 1-D filters based on nonlinear filter bank and the use of Z-parameter is put forward. The nonlinearity of elementary filters ensures the predetermined robustness of adaptive procedure with respect to impulsive noise and outliers. In turn, a local adaptation principle enables to minimize the total output error being a sum of the residual fluctuation component and dynamic errors. The use of Zparameter as a local activity indicator permits to "recognize " the signal and noise properties for given fragment quite surely and, thus, to select a proper filter from the bank at disposal. Numerical simulation results confirming the efficiency of the proposed approach are presented.

2025

2025, … Española de Acústica

Programa multidisciplinario implementado en el CIN-TRA para abordaje holístico de problemática social referida a hipoacusias tempranas, antes del ingreso laboral. El programa, dirigido a los adolescentes de Escuelas Técnicas de la Ciudad de Córdoba, Argentina, contempla tres áreas: Investigación, con aspectos audiológico, psicosocial, acústico, genético y estadístico, estableciendo relaciones entre ellos y analizando su evolución temporal; Extensión, con organización de actividades dirigidas a distintos estamentos de la sociedad y especialmente a los adolescentes; Tecnología, con desarrollos especiales para cumplimentar con normas en las mediciones. Se describen en forma general cada una de las áreas involucradas con los principales logros alcanzados, presentando los resultados más destacados correspondientes a la primera escuela donde se trabajó en el año 2006. Los adolescentes estudiados fueron clasificados en cuatro grupos según los resultados audiométricos, estableciendo relación con el resto de las pruebas audiológicas y con las variables psicosociales y acústicas analizadas.

2025

In this paper, existing methods for filtering noise in digital images are considered. The following noise filtration methods were analyzed: arithmetic averaging filter, geometric averaging filter, median filtering, adaptive median filtration, Gaussian filtration and filtration using fuzzy logic, in particular the fuzzy color preserving Gaussian noise reduction method (FCG filter). Besides, the different types of noise that may occur on a digital image are discussed. All methods were evaluated using metrics like mean squared error, peak signal-tonoise ratio and structure similarity. It has been found that all of the above methods can well filter out only a certain type of noise. Pulse noise on a digital image better removed with median and adaptive median filtering. Gaussian noise better removed with averaging, Gaussian and FGG filters. In this paper, a combination of adaptive median filtering and FGG filter is proposed for removal of combined pulse and Gaussian noises.

2025, Springer eBooks

The performance of an image processing algorithm can be assessed through its resulting images. However, in order to do so, both ground truth image and noisy target image with known properties are typically required. In the context of hyperspectral image processing, another constraint is introduced, i.e. apart from its mathematical properties, an artificial signal, noise, or variations should be physically correct. Deciding to work in an intermediate level, between real spectral images and mathematical model of noise, we develop an approach for obtaining suitable spectral impulse signals. The model is followed by construction of target images corrupted by impulse signals and these images will later on be used to evaluate the performance of a filtering algorithm.

2025, Eastern-European Journal of Enterprise Technologies

. Розкриваються особливості обробки сигналу і супровідного його шуму. Показано, що запропонований метод обробки дозволяє виключити вплив шумів лінійного тракту на вихідне відношення сигнал/шум. Отримано вирази, що визначають вихідне відношення сигнал/шум, чутливість приймача Ключові слова: виявлення, кореляційна функція, спектр, відношення сигнал/ шум, дисперсія, коефіцієнт кореляції, лінія затримки, режекція, згортка спектрів, крутість Functional expressions of signal/noise comparison and receiver sensitivity were found.

2025, ECTI Transactions on Computer and Information Technology

Impulse noise removal is a very important preprocessing operation in many computer vision applications. Usually it is accomplished by median filter with excessive sorting and therefore large power. This paper presents a new design of 2D median filter that utilizes a simple conditional filtering technique, executes fewer computations than related designs while achieving superior image quality. Experimental FPGA implementation of the proposed filtering scheme is compact, fast and low-power consuming.

2025

This paper presents a novel speech enhancement approach for performing noise reduction in severely disturbed environments. A small microphone for communication purposes is placed inside the external auditory canal to pick up the speech signal originating from the speech production organ. The speech enhancement is achieved by using three different noise reduction methods: High frequencies are attenuated by passive absorbers, low frequency components are attenuated by employing active noise control and finally a broadband noise reduction is achieved by using spectral subtraction.

2025, Indonesian Journal of Electrical Engineering and Computer Science

A modified mixed Gaussian plus impulse image denoising algorithm based on weighted encoding with image sparsity and nonlocal self-similarity priors regularization is proposed in this paper. The encoding weights and the priors imposed on the images are incorporated into a variational framework to treat more complex mixed noise distribution. Such noise is characterized by heavy tails caused by impulse noise which needs to be eliminated through proper weighting of encoding residual. The outliers caused by the impulse noise has a significant effect on the encoding weights. Hence a more accurate residual encoding error initialization plays the important role in overall denoising performance, especially at high impulse noise rates. In this paper, outliers free initialization image, and an easier to implement a parameter-free procedure for updating encoding weights have been proposed. Experimental results demonstrate the capability of the proposed strategy to recover images highly corrupte...

2024, IEEE Transactions on Information Theory

Optimization of the transmitting filter in a PAM system using a Viterhi detector of constrained complexity is considered. The receiving filter is considered to he a whitened matched filter. A constraint on detector complexity is obtained by limiting the length of the system impulse response. The results are applied to a channel with coaxial cable characteristics. Comparison with other detectors shows that the Viterhi detector is preferable even when the length of the system impkse response is quite short.

2024

Gran parte de las Infraestructuras Avanzadas de Medicion (AMI, Advanced Measurement Infrastructures), desplegadas en los sistemas de distribucion de energia electrica para el registro de los parametros facturables y de calidad de servicio utilizan las mismas redes de energia como medio de comunicacion (PLC, Power Line Communications). Para ello, utilizan la banda de frecuencias NB-PLC (Narrowband PLC, o PLC de banda estrecha, entre 90 y 500 KHz), con esquemas de modulacion tales como la Multiplexacion por Division de Frecuencias Ortogonales (OFDM, Orthogonal Frequency Division Multiplexing). Dado que las redes de distribucion de energia no se disenan como canales de comunicacion, presentan serios desafios para la obtencion de comunicaciones confiables. En este trabajo se propone modelar en Matlab/Simulink® el canal PLC con fines de docencia e investigacion, para una configuracion tipica de distribucion en Baja Tension.

2024, Neuroscience Letters

 Time of exposure on the light/dark cycle can affect injury.  A chronotolerance effect has been shown for noise-induced hearing loss.  Mice were exposed to high-level impulse noise at four different time points.  No chronotolerance... more

2024, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)

2024, 2012 IX International Symposium on Telecommunications (BIHTEL)

In real high voltage systems, it is necessary to observe system parameters. Depend on investigated values, it is possible to detect malfunctions or overvoltage in high-voltage substation. Because of these, communication system in actual high voltage substation is implemented. In the high-voltage substation disconnector and circuit breaker are installed, whose operation causing appearance of impulse noise effect in the present communication system. Disconnector's contacts in airinsulated substations (AIS) are moving slowly causing numerous strikes and re-strikes between contacts. Every strike causes highfrequency currents (from a few hundred kHz to a few MHz) tending to equalize potentials at the contacts. These processes are the source of impulse noise in the connected communication system. In this paper measured impulse noise level and estimate influence to probability of false alarm appearance in the communication system are presented.

2024, IEEE Transactions on Signal Processing