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检索条件"主题词=signal processing algorithms"

共 43365 条记录，以下是91-100 订阅

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Performance Analysis of Parallel signal processing algorithms in Audio Mixing Systems

Performance Analysis of Parallel Signal Processing Algorithm...

引用

International Conference on Networking (ICN)

作者： Jiri Schimmel Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic

ISBN: (纸本)9781424460830

algorithms for real-time parallel processing of an audio signal in large-scale digital audio distribution networks, implemented on personal computer platform, are compared in this paper from the performance point of view. In such systems, the summing and multiplication of audio signal take up a significant portion of the processing power of the system. Therefore, there is a tendency to decrease its computing demands and thus reserve the computing power of the processor for other signal processing modules in the audio network. Various approaches can therefore be used to distribute computing among several threads. Seven approaches are analyzed in the paper and fastest one is found with regard to the size of audio sample buffers.

关键词： Performance analysis signal processing algorithms Parallel processing signal processing Large-scale systems Computer networks Real time systems Distributed computing High performance computing Speech processing

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Polynomial spline signal processing algorithms

Polynomial spline signal processing algorithms

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

作者： M. Unser A. Aldroubi National Institutes of Health DHHS Bethesda MD USA

The authors describe a novel digital filtering algorithms for the processing and representation of signals using polynomial splines. The classical polynomial spline interpolation problem is considered. It is found that it can be solved efficiently by recursive digital filtering. This result also yields a simple procedure for signal differentiation. Filters that efficiently solve the problem of smoothing spline approximations are derived. This technique is a regularized version of spline interpolation and is therefore less sensitive to noise. It is applied to the design of a robust edge detection algorithm with an adjustable scale parameter. A filtering/sampling algorithm for least squares spline approximation is described. This data reduction technique is applied to the generation of a cubic spline image pyramid that is found to compare favorably with the Gauss/Laplace pyramid.< >

关键词： Polynomials Spline signal processing algorithms Least squares approximation Filtering algorithms Interpolation signal processing Digital filters Smoothing methods Algorithm design and analysis

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Parallelism analysis and extraction of digital signal processing algorithms

Parallelism analysis and extraction of digital signal proces...

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Asilomar Conference on signals, Systems & Computers

作者： K.M. Elleithy A.A.M. Amin Computer Engineering Department King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

A new approach for parallelism analysis and extraction of digital signal processing algorithms is introduced. The high level description of the input is given in CIRCAL. A dependency graph of the problem is constructed to check existence of cycles. Loops in the dependency graph are parallelized. The approach is illustrated by an example.< >

关键词： signal analysis Algorithm design and analysis Digital signal processing signal processing algorithms Parallel processing Hardware Concurrent computing Integrated circuit modeling Petroleum Minerals

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Multi-stage adaptive signal processing algorithms

Multi-stage adaptive signal processing algorithms

引用

Sensor Array and Multichannel signal processing Workshop

作者： S.S. Kozat A.C. Singer University of Illinois Urbana-Champaign Urbana-Champaign IL USA

In this paper, we explore the use of multi-stage adaptation algorithms for a variety of adaptive filtering applications where the structure of the underlying process to be estimated is unknown. These algorithms are "multi-stage" in that they comprise multiple adaptive filtering algorithms that operate in parallel on the observation sequence, and adaptively combine the outputs of this first stage to form an overall signal estimate. Several examples of this class of algorithms are demonstrated and analyzed in both a deterministic and stochastic context with respect to their convergence and mean squared error. The first example of this class, a "universal" linear predictor, was recently introduced and shown to asymptotically achieve the performance of the best linear predictor for each sequence, (up to some maximal order). Two new algorithms have been developed that generalize this universal linear predictor, and explore the use of the LMS algorithm in each stage of adaptation. Each of these algorithms are compared through theoretical analysis of their behavior.

关键词： Adaptive signal processing signal processing algorithms Machine learning algorithms Resonance light scattering Adaptive filters Convergence Least squares approximation Filtering algorithms Algorithm design and analysis Data compression

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Efficacy of adaptive signal processing algorithms

Efficacy of adaptive signal processing algorithms

引用

IEEE International Symposium on Information Theory

作者： G.V. Moustakides Digital Signal & Image Processing Laboratory Department of Computer Engineering University of Patras Patras Greece

A method for theoretically comparing a class of adaptive estimation algorithms is presented. The method consists in defining for each algorithm in the class a quantity (the efficacy) that is theoretically computable, ... 详细信息

关键词： Adaptive signal processing signal processing algorithms Steady-state Least squares approximation Statistics Stochastic processes Error analysis Statistical distributions Mean square error methods signal processing

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A SIMD vectorizing compiler for digital signal processing algorithms

A SIMD vectorizing compiler for digital signal processing al...

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International Symposium on Parallel and Distributed processing (IPDPS)

作者： F. Franchetti M. Puschel Applied and Numerical Mathematics Technical University of of Vienna Austria Electrical and Computer Engineering Carnegie Mellon University USA

Short vector SIMD instructions on recent microprocessors, such as SSE on Pentium III and 4, speed up code but are a major challenge to software developers. We present a compiler that automatically generates C code enhanced with short vector instructions for digital signal processing (DSP) transforms, such as the fast Fourier transform (FFT). The input to our compiler is a concise mathematical description of a DSP algorithm in the language SPL. SPL is used in the SPIRAL system (http://***/~spira/) to generate highly optimized architecture adapted implementations of DSP transforms. Interfacing our compiler with SPIRAL yields speed-ups of more than a factor of 2 in several important cases including the FFT and the discrete cosine transform (DCT) used in the JPEG compression standard. For the FFT our automatically generated code is competitive with the hand-coded Intel Math Kernel Library.

关键词： Digital signal processing Fast Fourier transforms Spirals Discrete cosine transforms Microprocessors signal generators signal processing algorithms Discrete transforms Transform coding Kernel

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Use of signal processing algorithms in microprocessor-based control

Use of signal processing algorithms in microprocessor-based ...

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IEEE Conference on Decision and Control

作者： Claude S. Lindquist Department of Electrical & Computer Engineering University of Miami Miami FL USA

This paper reviews the mathematical basis for two popular algorithms - the Kalman filter used in control and the adaptive FIR filter used in signal processing. These estimation algorithms are compared and discussed. They are reformulated into the generalized frequency domain to yield alternative algorithms such as Walsh, Haar, and slant.

关键词： signal processing algorithms Finite impulse response filter Frequency domain analysis Adaptive signal processing Control systems Approximation algorithms Adaptive systems Programmable control Adaptive control Discrete Fourier transforms

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Experiments in partitioning and scheduling signal processing algorithms for parallel processing

Experiments in partitioning and scheduling signal processing...

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

作者： G. Mirchandani D.D. Ogden Department of Computer Science and Electrical Engineering University of Vermont Burlington VT USA

Implementing signal-processing algorithms on multiple programmable signal processors has the potential for providing increased throughput. The capability can be utilized for implementing more complex code, extending the frequency range of application of programmable signal processors, or substituting less costly processors for expensive fast processors. Results obtained in applying heuristic algorithms to the scheduling of code of seven practical applications in signal and image processing are reported.< >

关键词： signal processing algorithms Parallel processing signal processing Throughput Hardware Processor scheduling Application software Frequency Image processing signal sampling

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Automating the Verification of SDR Base band signal processing algorithms Developed on DSP/FPGA Platform

Automating the Verification of SDR Base band Signal Processi...

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IEEE Workshop on signal processing Systems (SIPS)

作者： Andrew Kwan Slim Boumaiza Michael Smith Fadhel Ghannouchi Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary Calgary AB Canada

This paper suggests an automated validation approach in testing advanced digital signal processing algorithms. These algorithms, which are intended for the implementation of the base band processor of software defined radios, are developed in software (digital signal processors DSP) and hardware (FPGA) environments in order to meet real-time and offline requirements. The automation of the testing of such algorithms enhances their robustness and accuracy, reduces human-computer interaction, decreases the latency between tests by reusing unmodified program code

关键词： signal processing algorithms Digital signal processing Field programmable gate arrays Automatic testing Software algorithms Software radio Digital signal processors Hardware Automation Robustness

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Functional MRI — signal processing algorithms and applications

Functional MRI — Signal processing algorithms and applicati...

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signal processing algorithms, Architectures, Arrangements and Applications (SPA)

作者： Arvid Lundervold Department of Radiology Haukeland University Hospital Bergen Norway Department of Biomedicine University of Bergen Bergen

Functional magnetic resonance imaging (fMRI) investigations are increasingly important for the in vivo study and modeling of integrative brain functions in health and disease, where sophisticated mathematical and statistical algorithms for fMRI signal processing and interpretation have come into play. Apart from neuroanatomical, neurophysiological, and neuropsychological competence, the progress in cognitive neuroscience and brain mapping is critically dependent on expertise from other disciplines - such as statistics, computer science, and electrical and electronic engineering dealing with signal processing, circuits and systems. During the last years, there has also been a trend towards funding of "open science" consortia, providing huge and well-curated image data repositories together with advanced software tools and processing pipelines to be used and further developed by the research community.

关键词： Magnetic resonance imaging signal processing algorithms Biomedical imaging Brain modeling Diseases Brain mapping Information technology

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