Digital Signal Processor Research Papers (original) (raw)

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.

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- Signal Processing, Modeling, Digital Signal Processing, Numerical Simulation

The direction-of-transmission (DOT) resolution of a digital time-delay beamformer (DTDBF) is directly related to sampling intervals. In fact, the smaller the sampling intervals the better the DOT resolution and the larger the number of natural beams. In a DTDBF based on digital signal processor (DSP) the sampling intervals are primarily restricted by the I/O bandwidth of the DSP. In this paper a new and simple digital time-delay beamformer configuration for transmission is proposed, incorporating a programmable delay line (PDL) between DSP and digital-to-analog converter (DAC). The behavior of the resultant system is first analyzed and then compared to the traditional one through simulations. It is proven that the proposed system significantly increases the DOT resolution and overcomes DOT accuracy errors opposed to that of the conventional one. Furthermore, the influences of the additional time jitter effects due to PDL and DAC objects on the performance of the proposed system are investigated.

- by Vasilis Christofilakis and +1
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- DSP, Time Delay, PDL, Resolution

A model of the multibeam echosounding process was developed. This model has now been used as the basis for the application of a model inversion technique, with the aim of analyzing midwater multibeam echosounder data, for fisheries... more

- by Arthur Sale
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- Data Mining, Signal Processing, Data Analysis, Underwater Acoustics

Coupled-bunch instabilities excited by RF cavity high order modes or resistive wall impedance can seriously limit the performance of third generation synchrotron light sources like ELETTRA. These instabilities can be cured by the use of active feedback systems. In the digital bunch-by-bunch approach adopted at ELETTRA, the position of the 432 bunches is sampled and corrected employing 500 Msample/s A/D and D/A converters. The correction values are computed by a multi-processor architecture made of state-of-the-art DSPs (Digital Signal Processors). A modular design allows to use commercial- off-the-shelf (COTS) components for the most critical parts of the system.

- by M. Lonza
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- Processor Architecture, Digital Signal Processor, Modular Design, Feedback System

Hardware and software systems are growing everyday in scale and functionality. This increase in complexity increases the number of subtle errors. Moreover, some of these errors may cause catastrophic loss of money, time, or even in many... more

- by Adel Ghazel
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- Computer Science, Computer Architecture, Signal Processing, Logic Programming

This paper describes a novel structure for a hardwired fast Fourier transform (FFT) signal processor that promises to permit digital spectrum analysis to achieve throughput rates consistent with extremely wide-band radars. The technique is based on the use of serial storage for data and intermediate results and multiple arithmetic units each of which carries out a sparse Fourier transform. Details of the system are described for data sample sizes that are binary multiples, but the technique is applicable to any composite number. Index Terms-Cascade Fourier transform, digital signal processor, Doppler radar, fast Fourier transform, radar-sonar signal processor, radix-two fast Fourier transform, real-time signal processor.

- by George Works
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- Distributed Computing, Computer Hardware, Computer Software, Sample Size

AbstractThis paper describes a 16-bit programmable fixed-point digital signal processor, called MDSP-II, for mobile commu-nication applications. The instruction set of MDSP-II was deter-mined after a careful analysis of the global system... more

... Sensory information comes from a Laser Range Finder also developed by the author [6]. Range data are made up of hundreds of 2D relative coordinate points of targets in the field of view of the sensor camera, already filtered and... more

- by Marta Marron-Romera
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- Computer Science, Motor Control, Motion Planning, Computer Hardware

TACTILE VOCODERS are sensory substitution devices that present sound information to persons with profound hearing loss who benefit little from conventional hearing aids. These devices utilise the 'vocoder' principle developed for speech communication (DUDLEY, 1939; GOLD and RADER, 1967; FLANAGAN, 1972). Tactile vocoders display speech information as a spectral envelope on the skin. Their design is intended to mimic the 'place theory' of frequency discrimination of the cochlea. Recently, researchers have experienced substantial success with such

- by Edward Miskiel
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- Biomedical Engineering, Hearing aids, Deafness, Real Time

presents an open-architecture Computerized Numerical Control (CNC) system based on Windows CE, which is a multi-task embedded real-time operating system. The CNC system adopts a master-slave architecture, And the Master applies with Windows CE, which charges weak real-time tasks such as NC code's editor, interpreter and simulator function block, fault diagnosis, 11O monitoring and control etc, while the slave adopts a motion control card based on Digital Signal Processor (DSP) and Field Programmable Gate Array (FPGA), which charges hard realtime tasks including interpolation, electromotor control etc. The research realizes the construction of hardware and software of CNC system and solves such core issues as NC code interpreter and simulation, Rate Monotonic Scheduling (RMS) task schedule algorithm and task scheduling of CNC system. The experimental results have proven the development of CNC system based on Windows CE is a feasible, novel and fast technology course in the field of CNC.

- by feng shouting
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- Embedded Systems, Scheduling, Motion control, Automation & COntrol

This paper presents the implementation of a predictive control scheme for an indirect matrix converter. The control scheme selects the switching state that minimizes the reactive power and the error in the output currents according to their reference values. This is accomplished by using a prediction horizon of one sample time and a very intuitive control law. Experimental results with a 6.8-kVA indirect matrix converter prototype are provided in order to validate the proposed control scheme. The converter uses standard digital signal processor operating at a sampling frequency of 20 μs. It is shown that the idea of controlling this converter topology with a predictive approach can be implemented simply and input currents with unity power factor and a total harmonic distortion lower than 5% can be obtained.

- by José Espinoza
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- Engineering, Sampling methods, Spectral analysis, Reactive Power

A novel technique for space-vector modulation (SVM) inverters in the overmodulation range is presented. A unique algorithm manages the transition from the onset of overmodulation to six-step operation. The technique is suitable for a very simple digital implementation. Experimental results, obtained by a digital signal processor (DSP) board, are also included in this paper.

- by Silverio Bolognani
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- Engineering, Digital Control, Modulation, Digital Signal Processor

Overtaking and lane changing are very dangerous driving maneuvers due to possible driver distraction and blind spots. We propose an aid system based on image processing to help the driver in these situations. The main purpose of an overtaking monitoring system is to segment the rear view and track the overtaking vehicle. We address this task with an optic-flow-driven scheme, focusing on the visual field in the side mirror by placing a camera on top of it. When driving a car, the ego-motion optic-flow pattern is very regular, i.e., all the static objects (such as trees, buildings on the roadside, or landmarks) move backwards. An overtaking vehicle, on the other hand, generates an optic-flow pattern in the opposite direction, i.e., moving forward toward the vehicle. This well-structured motion scenario facilitates the segmentation of regular motion patterns that correspond to the overtaking vehicle. Our approach is based on two main processing stages: First, the computation of optical flow in real time uses a customized digital signal processor (DSP) particularly designed for this task and, second, the tracking stage itself, based on motion pattern analysis, which we address using a standard processor. We present a validation benchmark scheme to evaluate the viability and robustness of the system using a set of overtaking vehicle sequences to determine a reliable vehicle-detection distance.

- by Eduardo Ros
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- Engineering, Technology, Image Processing, Machine Vision

Induction motor (IM) speed sensorless control, allowing operation at low and zero speed, optimizing torque response and efficiency, will be presented in this paper. The magnitude and the orientation angle of the rotor flux of the IM are determined by the output of the closed-loop rotor-flux observer based on the calculation of the extended electromotive force of the machine. The proposed rotor-flux-oriented control scheme is robust to parameter variations and external disturbances. Both observer and controller utilize the continuous sliding mode and Lyapunov theory. A smooth transition into the field-weakening region and the full utilization of the inverter current and voltage capability are thus possible. The produced torque is a continuous output variable of control. The performance of the proposed method is investigated and verified experimentally on a digital signal processor.

- by Karel Jezernik
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- Engineering, Digital Signal Processor, Sensorless Control, Induction machine

This paper presents a modified adaptive Kalman filter for sensorless current control of a three-phase inverter based distributed generation system. The delay introduced by measurements and the digital signal processor is compensated using a modified Kalman filter. The states of control variables can be estimated one sample in advance and the number of the measurement sensors can be reduced. For system robustness two current loops are used. Steepest descent adaptive control for grid voltage estimation has been employed in the control system. Stability and dynamic performances are analyzed using root locus for different state variables. Simulation and experimental results confirm the validity of the proposed approach.

- by Khaled H. Ahmed
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- Adaptive Control, Control system, Kalman Filter, Digital Signal Processor

In this work, the study, design and development of a Digital Lock In Amplifier (DLIA) with a Digital Signal Processor (DSP) DSP32C from AT&T is presented. To synchronize the DLIA oscillator with external signal, a Discrete Phase Locked Loop (DPLL) is added to the systems. A theoretical introduction of both systems is also presented. The algorithm of the DPLL presented is valid only for constant uniform sampling frequency.

This paper deals with the control and observation of an induction motor using sliding-mode technique. Our aim is to regulate the speed and the square of the rotor flux magnitude to specified references. Assuming that all the states are measured, sliding surfaces are proposed within a sliding-mode control framework. Then, the stator voltages are derived such that the sliding surfaces are asymptotically attractive. Since, in practice, the rotor fluxes are not usually measurable, a sliding-mode observer is derived to estimate the rotor fluxes. Furthermore, it is shown that our observer is robust against modeling uncertainties and measurement noise. To illustrate our purpose, we present experimental results for a 0.37-kW induction motor obtained on a digital-signal-processor-based system (TMS 320C31/40 MHz). The experimental results show that the proposed control system is robust against rotor resistance variations.

- by Abdelkrim benchaib
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- Engineering, Computer Science, Robust control, Control system
- by Massimo Gottardi
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- Digital Signal Processor, Monolithic Integration

We present an automated methodology for producing hardware-based random number generator (RNG) designs for arbitrary distributions using the inverse cumulative distribution function (ICDF). The ICDF is evaluated via piecewise polynomial approximation with a hierarchical segmentation scheme that involves uniform segments and segments with size varying by powers of two which can adapt to local function nonlinearities. Analytical error analysis is used to guarantee accuracy to one unit in the last place (ulp). Compact and efficient RNGs that can reach arbitrary multiples of the standard deviation can be generated. For instance, a Gaussian RNG based on our approach for a Xilinx Virtex-4 XC4VLX100-12 field-programmable gate array produces 16-bit random samples up to 8 2 . It occupies 487 slices, 2 block-RAMs, and 2 DSP-blocks. The design is capable of running at 371 MHz and generates one sample every clock cycle.

- by Ray Cheung
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- Approximation Theory, Distributed Computing, Computer Arithmetic, Computer Hardware

Current trends of power quality monitoring LabVIEW or general programming languages such as C++. instruments are based on digital signal processors Examples of DSP based PQ monitoring instruments which (DSP), which are used to record waveforms and are commercially available are the Reliable Power Meter harmonics and comes with software for collecting data and PowerGuide4400. However, these instruments can only and viewing monitoring results. The variations in the record waveforms and use a software for collecting data and DSP based instruments are in the way algorithms that viewing monitoring results including voltage profiles and are developed for processing the real-time power harmonic distortion information. quality waveforms. At present, all of the available power quality monitoring instruments are not capable To implement an intelligent PQ monitoring instrument, of troubleshooting and diagnosing power quality which can process raw measurement data and provide problems. Therefore, a DSP-based power quality useful information for PQ diagnosis, a new DSP-based PQ monitoring instrument is proposed for real-time monitoring instrument is proposed. The instrument is based disturbance recognition and source detection. The on DSP because digital signal processors are distinct from proposed instrument uses the Texas Instruments the general-purpose microprocessor in terms of having a far TMS32OC6711DSP starter kit with a TI ADS8364EVM higher computing power. Furthermore, its architecture is analog digital converter mounted on the daughter card. wired for mathematical functions rather than general

- by ramizi mohamed and +1
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- Power Quality, Real Time Systems, Software Implementation, Real Time

The design and analysis of an experimental study on Digital Signal Processor (DSP) controlled single-phase Pulse Width Modulation (PWM) inverter are presented in this paper. The study also aims to enhance undergraduates' knowledge on... more

- by Ahmet Teke
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- Engineering Education, Experimental Study, Tc, Digital Signal Processor

A digital signal processor (DSP) based two-parameter data acquisition system, connected to two analog-to-digital converters (ADCs) by means of an ad hoc built interface. was developed in order to perform real-time, on-line data processing. The interface, realized with programmable logic devices (PLD), may also work as a table of pre-computed values through which it is possible to carry out a simple analysis on the incoming or outcoming data.

- by Angelo Pagano
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- Geochemistry, Computer Science, Real Time Computing, Digital Signal Processing

This paper presents digital signal processor (DSP) based direct torque control scheme using space vector modulation (DTC-SVM) for permanent magnet synchronous motor (PMSM) drives. The analysis of PMShl shows that the increase of electromagnetic torque is proportional to the increase of the angle between the stator and rotor flux linkages and therefore fast torque response can be obtain by increasing the rotating speed of the stator flux linkage as fast as possible. The presented control strategy DTC-SVM is implemented in software of the DSl103 board. Simulations and experimental results well demonstrate the effectiveness of the proposed control scheme. Also comparison with conventional DTC scheme are given.

This paper presents the discussion on efficiency of different implementation methodologies of DSP algorithms targeted for modern FPGA architectures. Modern programmable structures are equipped with specialized DSP embedded blocks that allow implementing digital signal processing algorithms with use of the methodology known from digital signal processors. On the first place, however, programmable architectures give the designer the possibility to increase efficiency of designed system by exploitation of parallelism of implemented algorithms. Moreover, it is possible to apply special techniques, such as distributed arithmetic (DA) that will boost the performance of designed processing systems. Additionally, application of the functional decomposition based methods, known to be best suited for FPGA structures, allows utilizing possibilities of programmable technology in very high degree. The paper presents results of comparison of different design approaches in this area.

The integrity of electric motors in work and passenger vehicles can best be maintained by frequently monitoring its condition. In this paper, a signal processing-based motor fault diagnosis scheme is presented in detail. The practicability and reliability of the proposed algorithm are tested on rotor asymmetry detection at zero speed, i.e., at startup and idle modes in the case of a vehicle. Regular rotor asymmetry tests are done when the motor is running at a certain speed under load with stationary current signal assumption. It is quite challenging to obtain these regular test conditions for long-enough periods of time during daily vehicle operations. In addition, automobile vibrations cause nonuniform air-gap motor operation, which directly affects the inductances of electric motors and results in a noisy current spectrum. Therefore, it is challenging to apply conventional rotor fault-detection methods while examining the condition of electric motors as part of the hybrid electric vehicle (HEV) powertrain. The proposed method overcomes the aforementioned problems by simply testing the rotor asymmetry at zero speed. This test can be achieved at startup or repeated during idle modes where the speed of the vehicle is zero. The proposed method can be implemented at no cost using the readily available electric motor inverter sensors and microprocessing unit. Induction motor fault signatures are experimentally tested online by employing the drive-embedded master processor (TMS320F2812 DSP) to prove the effectiveness of the proposed method.

- by Bilal AKIN
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- Engineering, Technology, Signal Processing, Fault Detection

This paper presents the modeling and simulation of a 25 kV 50 Hz AC traction system using Power System Block set (PSB) / SIMULINK software package. The three-phase system with substations, track section with rectifier-fed DC locomotives and a detailed traction load are included in the model. The model has been used to study the effect of loading and fault conditions in 25 kV AC traction. The relay characteristic proposed is a combination of two quadrilaterals in the X-R plane. A brief summary of the hardware set-up used to implement and test the relay characteristic using a Texas Instruments TMS320C50 digital signal processor (DSP) has also been presented.

- by Mohsen Tajdinian
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- Power System, Modeling and Simulation, IEEE, Digital Signal Processor

Applications of digital signal processing in telecommunications are considered, taking into account the characteristics of telecommunications systems, aspects of digital transmission, digital switching, digital signal processing in... more

... In the previous application, an accurate and reduced part closed loop control has been achieved through the ... control loop to control the current through the filter inductor, and an outer control loop to Fig. ... [13] SM Dehghan, M.... more

- by Mahmoud Amin
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- Power Electronics, Digital Signal Processing, System Design, High Frequency
- by Wayne Padgett
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- Digital Signal Processing, Adaptive Filter, Low Power, Digital Signal Processor

This paper describes a new course on Digital Signal Processing for Power Electronics Practice for undergraduate students of Electronics Engineering at Federico Santa María University of Technology. A comprehensive program was designed to develop practical experience on power electronics by employing a low-cost complete DSP-based module, based on the Texas Instruments TMS320F241 digital signal processor, developed by two graduate students. This new program has been successfully applied in lab activities on power electronics equipment such as single-phase inverters, singlephase boost rectifier and others. Two applications are described with methods and tools. Strengths and weaknesses of the proposed approach are analyzed integrating teachers' perspectives and students' feedback. Index Terms -Digital signal processor, Laboratory innovation, MATLAB-based interface, Software interface.

Abstract-Improved reliability and fault tolerant operation of inverter-fed variable frequency ac drives are very impor-tant for critical industrial applications. The paper describes variable frequency, variable voltage operation of a... more

- by Bimal Bose
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- Engineering, Signal Processing, Digital Control, Low Frequency

Conventional passive headsets often perform well in reducing high-frequency noise but perform badly to cancel the low-frequency noise. Accordingly, academic researches and companies have developed active noise-reducing headsets to cancel annoying noise at such lower frequencies using expensive digital signal processors (DSPs). This paper develops a modified feedback active noise control (ANC)algorithm to design an active noisereducing headset with a low-cost microcontroller unit (MCU), offering a cheaper solution to noise reduction than existing audio headsets. The ways to save the computing load of a least mean square (LMS) algorithm by a microcontroller and to compensate for the output limit of speakers in a headset are also provided. Experimental results show that the proposed approach removes disturbing noise very well and outperforms the commercial headset.

- by Shengting Li
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- Engineering, Signal Processing, High Frequency, Active noise control

An active noise control (ANC) system with a digital signal processor (DSP) is proposed for snoring noise cancellation. The ANC system applies the filtered-X least mean square (FXLMS) method to generate anti-snoring noise by estimating the secondary path and then adaptively tuning the weights of the finite-length impulse response (FIR) filter. By interfering with noise, the anti-snoring noise signals help to create a silent zone around the snorer. Several experiments confirm the effectiveness of the proposed method.

Steady advances in VLSI technology and design tools have extensively expanded the application domain of digital signal processing over the past decade. While application-specific integrated circuits (ASICs) and programmable digital signal processors (PDSPs) remain the implementation mechanisms of choice for many DSP applications, increasingly new system implementations based on reconfigurable computing are being considered. These flexible platforms, which offer the functional efficiency of hardware and the programmability of software, are quickly maturing as the logic capacity of programmable devices follows Moore's Law and advanced automated design techniques become available. As initial reconfigurable technologies have emerged, new academic and commercial efforts have been initiated to support power optimization, cost reduction, and enhanced run-time performance.

- by Simon Dimaio and +1
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- Geology, Remote Sensing, Digital Signal Processing, Ground Penetrating Radar

This paper presents a method to detect the rotor position of permanent-magnet motors at standstill, which is suitable to avoid temporary reverse rotation at startup or starting failure. The approach is based on the investigation of the stator inductance variation as a function of the rotor magnets position and the stator current space vector. It involves the application of a

- by Roberto Petrella
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- Engineering, Fuzzy Logic, Digital Signal Processor, Position Estimation

He is engaged in research and teaching in digital communications and wireless systems, equalization and channel estimation in multicarrier (OFDM) communication systems, and efficient modulation and coding techniques (TCM and turbo... more

- by Costas Georghiades
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- Signal Processing, Sequential Monte Carlo, Wireless Technology, Low Power

The current paper aims at presenting and examining an implementation on a digital signal processor (DSP) of the conventional space vector pulse width modulation(CSVPWM) so as to control the dual three phase permanent magnet synchronous motors (DTP-PMSM) drives applied on electric ship propulsion. It is also an attempt to accomplish a developed control of this technique based on vector space decomposition (VSD) strategy. By this strategy, the analysis and the control of the machine are achieved in three two-dimensional orthogonal subspaces. Among the 12 voltage vectors having maximum, the conventional technique namely the adjacent two-vectors (12SA2V) is chosen. Thereby, the test platform allows the implementation of the chosen vectors which are modeled on MATLAB/Simulink using block diagrams and the automatically generated code which is targeted in the DSP card processor. Simulation and experimental results have exposed the efficiency of the proposed test bench of 5 KW prototype machine by using a low-cost TMS32F28379D.

- by Yann LeCun
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- Neural Network, Systems, Optical Character Recognition, Digital Signal Processor

Due to the growing changes in the electrical network related to the new distributed generation scheme and the integration of renewable energy sources, new requirements for grid-connected power converters are being defined in the new grid codes. The injection of positive-and negativesequence current components is becoming necessary for achieving new capabilities like the reactive power injection during a grid fault. This paper deals with a fundamental issue in this topic, i.e., the performance of the current controller. Classical dq controllers, which are extensively used in industrial applications, degrade its performance when both sequences are involved, as unavoidable oscillations in the dq axes appear. In this paper, a new scheme for controlling positive-and negative-sequence currents using dq controllers is proposed, based on an enhanced Double Synchronous Reference Frame (DSRF) controller. In this paper the DSRF controller is improved by adding a decoupling network which counteracts the oscillations caused by the presence of both sequences. Experimental results will demonstrate the validity of the proposed Decoupled DSRF (DDSRF) controller.

- by pedro rodriguez
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- Power Electronics, Robust control, Fundamental Frequency, Power Control

This paper presents a predictive current control method and its application to a voltage source inverter. The method uses a discrete-time model of the system to predict the future value of the load current for all possible voltage vectors generated by the inverter. The voltage vector which minimizes a quality function is selected. The quality function used in this work evaluates the current error at the next sampling time. The performance of the proposed predictive control method is compared with hysteresis and pulsewidth modulation control. The results show that the predictive method controls very effectively the load current and performs very well compared with the classical solutions.

- by Cesar Silva
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- Engineering, Signal Processing, FPGA, Digital Signal Processing

A highly efficient energy management system for hybrid electric vehicles (HEV), using neural networks (NN), was developed and tested. The system minimizes the energy requirement of the vehicle and can work with different primary power sources like fuel-cells, microturbines, zinc-air batteries or other supply with poor ability to recover energy from regenerative braking, or with scarce power capacity for fast acceleration. The experimental HEV uses lead-acid batteries, an ultracapacitor bank, and a brushless dc motor with a nominal power of 32 kW, and a peak power of 53 kW. The control system, based on a DSP, measures and stores the following parameters: primary source voltage, car speed, instantaneous currents in both terminals (primary source and ultracapacitor), and actual voltage of the ultracapacitor. The increase in range with ultracapacitors has been around 5.3 % in city tests, compared when only lead acid batteries are used, but when optimal control with NN is used, this figure increases to 8.9 %. The car used for this experiment is a Chevrolet LUV truck, similar in shape and size to a Chevrolet S-10, which was converted to an electric vehicle at the Universidad Católica de Chile. Numerous experimental tests under different conditions are compared and discussed.

- by Jorge Moreno
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- Engineering, Optimal Control, Neural Networks, Neural Network

This paper presents a novel instruction cell-based reconfigurable computing architecture for low-power applications, thereafter referred to as the reconfigurable instruction cell array (RICA). For the development of the RICA, a top-down software driven approach was taken and revealed as one of the key design decisions for a flexible, easy to program, low-power architecture. These features make RICA an architecture that inherently solves the main design requirements of modern low-power devices. Results show that it delivers considerably less power consumption when compared to leading VLIW and low-power digital signal processors, but still maintaining their throughput performance.

A new mathematical model of the power circuit of a three-phase voltage source converter (VSC) was developed in the stationary and synchronous reference frames. The mathematical model was then used to analyze and synthesize the voltage and current control loops for the VSC. Analytical expressions were derived for calculating the gains and time constants of the current and voltage regulators. The mathematical model was used to control a 140-kW regenerative VSC. The synchronous referenceframe model was used to define feedforward signals in the current regulators to eliminate the cross coupling between the d and q phases. It allowed the reduction of the current control loops to first-order plants and improved their tracking capability. The bandwidths of the current and voltage-control loops were found to be approximately 20 and 60 times (respectively) smaller than the sampling frequency. All control algorithms were implemented in a digital-signal processor. All results of the analysis were experimentally verified.

- by dc an
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- Modeling, Digital Control, First-Order Logic, Reference Frame

This paper describes a digital proportional-integral-derivative (PID) controller technique applied to the DC-DC buck converter. The converter is modelled using a state space averaging technique. Due to the non-linear of the power converter, the PID controller is designed to simplify the compensation of the DC-DC converter. The control algorithm is implemented in digital signal processor (DSP) TMS320F2812. The steady state and dynamic response performances of the controller are demonstrated. Experimental results are provided to demonstrate the effectiveness of the design.

- by Mohammed Tajuddin
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- Power Electronics, Fuzzy Logic, Fuzzy Control, Nonlinear filters

We present a novel computation sharing multiplier architecture for two's complement numbers that leads to high performance digital signal processing systems with low power consumption. The computation sharing multiplier targets the reduction of power consumption by removing redundant computations within system by computation reuse. Use of computation sharing multiplier leads to high-performance finite impulse response (FIR) filtering operation by reusing optimal precomputations. The proposed computation sharing multiplier can be applicable to adaptive and nonadaptive FIR filter implementation. In this paper, a decision feedback equalizer (DFE) was implemented based on the computation sharing multiplier in a 0.25technology as an example of an adaptive filter. The performance and power consumption of the DFE using computation sharing multiplier is compared with that of DFEs using a Wallace-tree and a Booth-encoded multiplier. DFE implemented with computation sharing multiplier shows improvement in performance over the DFE using a Wallace-tree multiplier, reducing the power consumption significantly.

This article presents a low complexity dual tone multiple frequency (DTMF) signal detector that meets the International Telecommunication Union (ITU) Q.24 DTMF standard while implemented on a general purpose Digital Signal Processor (DSP). The proposed DTMF detector is based on the Goertzel algorithms and is well suited for a multichannel implementation. Our solution offers increased accuracy and noise margins, while preserving the inherited advantages of the Goertzel algorithm (less memory requirements and computational complexity).