Signal Processing Research Papers - Academia.edu (original) (raw)
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The current-mode instrumentation amplifier based on second-generation current conveyors (CCII) offers many benefits over conventional instrumentation amplifier architectures. It does not need any matched components to achieve high CMRR... more
The current-mode instrumentation amplifier based on second-generation current conveyors (CCII) offers many benefits over conventional instrumentation amplifier architectures. It does not need any matched components to achieve high CMRR and its bandwidth is not gain-bandwidth product limited. Therefore, the wideband CMOS current conveyor has been used in this structure. HSPICE simulations have shown that its performance is quite satisfactory for wideband current-mode signal processing. Furthermore, different CMRR enhancement techniques of current-mode instrumentation amplifiers are discussed. The new simulated instrumentation amplifier provides approximately 40 dB of improvement on the high-frequency CMRR up to the 3-dB corner frequency and even higher. In addition, composite conveyor techniques improving the instrumentation amplifier performance are presented
Key issues related to the modeling of ultra-high speed transmission are discussed in this paper. These topics include components modeling, link modeling and BER estimation. Different solutions for the transport of 100 Gb/s over a single... more
Key issues related to the modeling of ultra-high speed transmission are discussed in this paper. These topics include components modeling, link modeling and BER estimation. Different solutions for the transport of 100 Gb/s over a single wavelength including technologies such as coherent detection, polarization multiplexing, optical OFDM, and digital signal processing are reviewed and compared with means of numerical simulations.
... donning. This system is designed to be embedded in Bio-Suit, a revolutionary space suit concept developed for many years by Prof. Dava ... exploration. I.Bio-SUIT SYSTEM The Bio-Suit System is a project developed by Prof. Dava ...
- by G. Trotti and +1
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- Design, Signal Processing, Fuzzy Logic, Neural Network
The reliable condition monitoring of machines and the early detection of faults play an important role in condition-based maintenance. Information on the condition of machines is needed in different forms but finally it has to be in as... more
The reliable condition monitoring of machines and the early detection of faults play an important role in condition-based maintenance. Information on the condition of machines is needed in different forms but finally it has to be in as simple form as possible so that it can be utilised in the decision-making by the maintenance and management personnel. In the field of machine condition monitoring, there is a wide range of signal processing methods, which are used in feature extraction and fault diagnosis. Differentiation and integration are very common and important operations in vibration signal processing. The order of derivative is typically an integer number but it can also be any fractional number. Especially in the challenging fault and process cases, signals whose order of derivative is a real or complex number could be clearly more sensitive in fault detection than the commonly used signals: displacement, velocity and acceleration. In this paper, the application of complex o...
An investigation into the feature extraction and selection of infant cry with asphyxia is presented in this paper. The feature of the cry signal was extracted using mel frequency cepstrum coefficient (MFCC) analysis and the significant... more
An investigation into the feature extraction and selection of infant cry with asphyxia is presented in this paper. The feature of the cry signal was extracted using mel frequency cepstrum coefficient (MFCC) analysis and the significant coefficients were selected using orthogonal least square (OLS) algorithm. The effect of varying the number of MFCC filter banks on the feature selection was examined. It was found that the best set of coefficients could be achieved when 40 filter banks were used.
The proposed Biomedical Signal Processing Laboratory incorporates several components that enhance its usefulness for inquiry-based learning. The Laboratory orients around the physical construction and testing of a variety of simple signal... more
The proposed Biomedical Signal Processing Laboratory incorporates several components that enhance its usefulness for inquiry-based learning. The Laboratory orients around the physical construction and testing of a variety of simple signal processing circuit modules, introduced as lessons. can be easily determined through measurement with a BIOPAC data acqu tem software permits simple comparisons between real-world and simulated s tics. The modules can be combined in a step-by-step fashion to create a varie gnal processing systems. Signal processing systems established by the Labo from signals sourced from the student’s own body. Through the application of ition system and associated software, students can build and test signal proce nce against mathematical simulation using graphical comparisons, combine nals sourced from their own bodies and then analyze the results. In the proc their own bodies, students ’ curiosity is stimulated and they gain more control le to test and retest to...
Cet article présente un nouveau procédé de correction auditive utilisant un modèle paramétrique du signal de parole. Ce procédé permet, en plus des opérations classiques de compression et d'amplification, d'effectuer des... more
Cet article présente un nouveau procédé de correction auditive utilisant un modèle paramétrique du signal de parole. Ce procédé permet, en plus des opérations classiques de compression et d'amplification, d'effectuer des transformations élaborées (modification du rythme temporel, modification de l'enveloppe spectrale, etc.) tout en conservant la structure naturelle du signal de parole. Les premiers résultats d'une série de tests cliniques montrent que ce procédé est bien accueilli par les personnes atteintes de surdités intermédiaires (moyennes ou sévères) et pour lesquelles il n'existe pas véritablement de traitement prothétique adapté.
In this paper, we present two new articulated motion analysis and object tracking approaches: the decentralized articulated object tracking method and the hierarchical articulated object tracking method. The first approach avoids the... more
In this paper, we present two new articulated motion analysis and object tracking approaches: the decentralized articulated object tracking method and the hierarchical articulated object tracking method. The first approach avoids the common practice of using a high-dimensional joint state representation for articulated object tracking. Instead, we introduce a decentralized scheme and model the interpart interaction within an innovative Bayesian framework. Specifically, we estimate the interaction density by an efficient decomposed interpart interaction model. To handle severe self-occlusions, we further extend the first approach by modeling high-level interunit interaction and develop the second algorithm within a consistent hierarchical framework. Preliminary experimental results have demonstrated the superior performance of the proposed approaches on real-world videos in both robustness and speed compared with other articulated object tracking methods.