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检索条件"主题词=signal processing algorithms"

共 43365 条记录，以下是111-120 订阅

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A software development tool for scheduling signal processing algorithms on multiprocessors with arbitrary interconnectivity

A software development tool for scheduling signal processing...

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： G. Mirchandani P. Twombly Department of Computer Science and Electrical Engineering University of Vermont Burlington VT USA General Technology Division International Business Machines Corporation Essex Junction VT USA

A multiprocessor scheduler has been developed for scheduling signal processing and other algorithms on programmable digital signal processors that can be connected in a common-bus or hypercube topology. The scheduler requires an acyclic precedence graph of the algorithm and the cost of all interprocessor communications. The software tool permits the user to select from among three different scheduling algorithms. The first is a heuristic method, the second uses dynamic programming, and the third uses integer linear programming. Schedules for six practical signal processing algorithms are obtained, and throughput rates are compared to those obtained with uniprocessor implementation.< >

关键词： Programming signal processing signal processing algorithms Processor scheduling Scheduling algorithm Digital signal processing Digital signal processors Hypercubes Topology Costs

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Fast signal processing algorithms for Noise Radars

Fast Signal Processing Algorithms for Noise Radars

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European Radar Conference (EURAD)

作者： R.B. Sinitsyn A.J. Beletsky Department of Electronic National Aviation University Kiev Ukraine

The paper presents new systems of orthogonal basic functions for fast signal processing algorithms, which can be used in different types of radars. The functional systems suggested allow us to use fast Fourier transform for calculating the convolution and the correlation function. The results were tested with the help of Monte-Carlo simulation as well as the physical radar model

关键词： signal processing algorithms Radar signal processing Acoustic noise Radar measurements Convolution Radar imaging Radar detection Noise measurement Frequency Fast Fourier transforms

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Algebraic methods for the analysis and design of time-frequency signal processing algorithms

Algebraic methods for the analysis and design of time-freque...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： D. Rodriguez J. Seguel E. Cruz Electrical and Computer Engineering Department University of Puerto Rico Puerto Rico Mathematics Department University of Puerto Rico Puerto Rico Elecmcal and Computer Engineering Department University of Puerto Rico Puerto Rico

Some results on the study of algebraic methods for the analysis and design of time-frequency signal processing algorithms are presented. A time-frequency signal is defined as a signal whose spectral characteristics vary with time. Time-frequency signal processing is the mathematical treatment of signals with the objective of extracting relevant information. The processing of time-frequency signals is accomplished through the development of suitable algorithms. Emphasis placed on the analysis, design, and modification of time-frequency algorithms for machine implementation, and on the development of an environment to assist on this implementation. This environment is termed a computational mathematics environment (CME).< >

关键词： Algorithm design and analysis signal analysis signal design Time frequency analysis signal processing algorithms Biomedical signal processing signal processing Mathematics Discrete wavelet transforms Biomedical computing

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The interfacing of signal processing algorithms to full-field models for EMC modelling

The interfacing of signal processing algorithms to full-fiel...

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IEEE International Symposium on Electromagnetic Compatibility (EMC)

作者： Y.K. Choong C. Christopoulos J. Paul P. Sewell D.W.P. Thomas University of Nottingham Nottingham Nottinghamshire UK

Significant advances have been made in recent years in the development of digital signal processing (DSP) algorithms and their exploitation in computational electromagnetics. In the widest sense, one could include in this category various techniques such as neural networks, genetic algorithms etc. In this paper, we focus however in reviewing the application of signal processing techniques to solve particular EMC problems. Two specific problems are addressed. First, the use of modal expansion techniques (MET) is described as applied to the interfacing of thin wires to large electromagnetic models described by a coarse mesh. MET allows accurate placement and description of thin wires irrespective of the mesh spatial resolution. Second, the use of digital filtering interface (DPI) is discussed as applied to the description in time-domain models of general material properties and other features with frequency-dependent properties. It is shown that advanced signal processing techniques can increase substantially the accuracy and efficiency of numerical solvers.

关键词： signal processing algorithms Electromagnetic compatibility Digital signal processing Wires Computational electromagnetics Neural networks Genetic algorithms Electromagnetic modeling Spatial resolution Digital filters

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Efficiency of the signal processing algorithms using signal-flow based mapping tool

Efficiency of the signal processing algorithms using signal-...

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International Conference on Radioelektronika

作者： Roman Mego Tomas Fryza Department of Radio Electronics Brno University of Technology Brno Czech Republic

This paper is dealing with the implementation of the signal processing algorithms, specifically the Fast Fourier Transform and the matrix multiplication, using the new tool for mapping instructions on functional units of the processor. The tool is using the signal-flow based description of the algorithm instead of the sequential notation of the program execution. The selected target processor is a multi-core digital signal processor based on the very long instruction word architecture. The final assembly code is analyzed in terms of utilization of the functional units and general purpose registers.

关键词： Registers signal processing algorithms VLIW Digital signal processing Parallel processing Digital signal processors Computer architecture

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Adaptive signal processing algorithms using sigma delta architectures

Adaptive signal processing algorithms using sigma delta arch...

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Asilomar Conference on signals, Systems & Computers

作者： J. Juni R.W. Stewart Signal Processing Division Department of Electronic and Electrical Engineering University of Strathclyde Glasgow UK

Using oversampled sigma-delta (/spl Sigma/-/spl Delta/) techniques a signal can be represented as a single bit binary data stream ({-1, 1}), with the quantization noise high pass filtered out of baseband. In this paper adaptive LMS digital filters are presented that directly use binary /spl Sigma/-/spl Delta/ input streams and update the PCM adaptive filter weights at the oversampled rate to realize architectures that are very suitable for mixed analog/digital VLSI implementation. Using the /spl Sigma/-/spl Delta/ adaptive architecture PCM values are multiplied by single bits, and can therefore be easily performed by a simple multiplexor. Also using the /spl Sigma/-/spl Delta/ approach, the decimation and interpolation stages required for converting from /spl Sigma/-/spl Delta/ to PCM (and vice-versa) suitable for Nyquist DSP algorithms are circumvented. The paper describes the sigma delta adaptive LMS filter architecture and presents preliminary results for adaptive echo cancellation using adaptive sigma delta and standard PCM architectures.< >

关键词： Adaptive signal processing signal processing algorithms Delta-sigma modulation Phase change materials Least squares approximation Adaptive filters Quantization Baseband Digital filters Very large scale integration

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On mapping signal processing algorithms to a heterogeneous multiprocessor system

On mapping signal processing algorithms to a heterogeneous m...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： K.-W. Chow B. Liu Princeton University Princeton NJ USA

The implementation of signal processing algorithms on a heterogeneous multiprocessor system is examined. The signal processing algorithm, represented as a directed signal flow graph, is mapped to the multiprocessor system for execution. A heuristic scheme aimed at producing a schedule of minimum execution time is proposed. Communication overhead is incorporated in the scheduling. Simulation results are presented using both the proposed heuristic scheme and an optimum scheme based on the branch-and-bound approach. The heuristic results fall within a reasonable range from the optimal schedule.< >

关键词： signal mapping signal processing algorithms Multiprocessing systems Optimal scheduling Flow graphs signal processing Scheduling algorithm Processor scheduling Computer architecture Throughput

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Efficient mapping of advanced signal processing algorithms on multi-processor architectures

Efficient mapping of advanced signal processing algorithms o...

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IEEE Workshop on signal processing Systems (SIPS)

作者： Bhavana B. Manjunath Aaron S. Williams Chaitali Chakrabarti Antonia Papandreou-Suppappola Department of Electrical Engineering Arizona State University Tempe AZ USA

Modern microprocessor technology is migrating from simply increasing clock speeds on a single processor to placing multiple processors on a die to increase throughput and power performance in every generation. To utilize the potential of such a system, signal processing algorithms have to be efficiently parallelized so that the load can be distributed evenly among the multiple processing units. In this paper, we study several advanced deterministic and stochastic signal processing algorithms and their computation using multiple processing units. Specifically, we consider two commonly used time-frequency signal representations, the short-time Fourier transform and the Wigner distribution, and we demonstrate their parallelization with low communication overhead. We also consider sequential Monte Carlo estimation techniques such as particle filtering, and we demonstrate that its multiple processor implementation requires large data exchanges and thus a high communication overhead. We propose a modified mapping scheme that reduces this overhead at the expense of a slight loss in accuracy, and we evaluate the performance of the scheme for a state estimation problem with respect to accuracy and scalability.

关键词： signal mapping signal processing algorithms Microprocessors Clocks Throughput Power generation Stochastic processes Time frequency analysis signal representations Fourier transforms

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Study of signal processing algorithms in Antenna Arrays Based on Heuristic Optimization Methods

Study of Signal Processing Algorithms in Antenna Arrays Base...

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Systems of signal Synchronization, Generating and processing in Telecommunications (SYNCHROINFO)

作者： Maxim Lavrov E. I. Glushankov Zahar Kondrashov Evgenii Rylov Dept. of Radiosystems and Signal Processing Bonch-Bruevich State University of Telecommunications Saint-Petersburg Russia General manager JVC “NIIMA “PROGRESS” Saint-Petersburg Russia General manager JSC “PCB “RIO” Saint-Petersburg Russia

ISBN: (数字)9798350373448

ISBN: (纸本)9798350373455

The article addresses methods of adaptive signal processing in transmitting antenna arrays to enhance the interference resilience of digital radio links. It examines the usage of heuristic optimization algorithms for forming antenna array patterns considering the directions of signal and interference arrivals. The article presents algorithms of the matrix method for direct calculation of the required antenna pattern and optimization methods based on particle swarm optimization and salp swarm algorithms. To assess the effectiveness of the algorithms, simulations were conducted using a seven-element antenna array as an example. The research results demonstrate the potential for effectively adapting antenna array patterns to various interference conditions. Further research aims to conduct a comparative analysis of algorithm efficiency to determine the most energy-efficient method.

关键词： Array signal processing Heuristic algorithms Transmitting antennas signal processing algorithms Adaptive arrays Optimization methods Interference

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Digital signal processing algorithms for power quality assessment

Digital signal processing algorithms for power quality asses...

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International Conference on Industrial Electronics, Control and Instrumentation

作者： M. Kezunovic B. Peruncic Department of Electrical Engineering Texas A and M University College Station TX USA Dept. of Electr. Eng. Texas A&M Univ. College Station TX USA

The authors introduce novel digital signal processing algorithms which can be used to measure various power system indicators, which, in turn, may be utilized for power quality assessment. They first discuss the signal analysis problem by providing classification of the assumptions about signal characteristics. Specific characteristics are a consequence of different power system disturbances. Two different classes of digital signal processing algorithms are introduced. These algorithms can be used for measurement of various quantities which may be used to characterize given disturbances. An approach to power quality assessment based on various measurements is illustrated by some examples.< >

关键词： Digital signal processing signal processing algorithms Power quality Power measurement Power system harmonics Power system measurements signal analysis signal processing Distortion Costs

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