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检索条件"主题词=Signal processing algorithms"

共 43367 条记录，以下是491-500 订阅

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Partitioning algorithms For Marine Geophysical signal processing

Partitioning Algorithms For Marine Geophysical Signal Proces...

引用

OCEANS

作者： S.K. Katsikas Department of Mathematics University of Aegean Samos Greece

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Advanced Results Demonstrating that Lévy Firefly Bio-Inspired algorithms Can Improve Fetal Electrocardiogram (FECG) Adaptive signal processing

Advanced Results Demonstrating that Lévy Firefly Bio-Inspir...

引用

Asilomar Conference on signals, Systems & Computers

作者： W. K. Jenkins C. Radhakrishnan School of Electrical and Computer Engineering Pennsylvania State University University Park PA Dept. of Elec. and Comp. Engr. University of Illinois Urbana-Champaign IL

ISBN: (数字)9798350354058

ISBN: (纸本)9798350354065

Previously published results demonstrated that a sequential combination of adaptive linear prediction configuration (LPC), adaptive noise cancellation (ANC), and adaptive comb filtering (CF) can effectively remove maternal interference from noninvasive fetal ECGs. More recent research results have verified that the bio-inspired Lévy Flight Firefly Algorithm (LFFA) can be effectively applied to many different forms of linear and non-linear adaptive filter structures, including low sensitivity IIR adaptive structures that could not be used with steepest descent adaptive algorithms due to their adaptive multimodal characteristics. This paper presents results when using the LFFA algorithm in various stages of the FECG sequential combination processing.

关键词： Computers Sensitivity Adaptive systems Filtering signal processing algorithms Interference Electrocardiography Prediction algorithms Noise cancellation Optimization

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Cooperative algorithms in Adaptive signal processing

Cooperative Algorithms in Adaptive Signal Processing

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IEEE Green Energy and Systems Conference (IGESC)

作者： Sammuel Jalali California State University Long Beach California

ISBN: (纸本)9781538677421

Advanced adaptive signal processing algorithms commonly used in optimization, filtering, and estimation are subjects of seeking innovations and advancements. The important performance factors of algorithms are adaptation or convergence (the probability of, and the speed of), and computational cost (proportional to the algorithm complexity). The improvement in convergence often comes with higher computational needs. In this report we exploit the diversity in algorithms by using cooperative processes. An odd number of cooperative processes running simultaneously participate in a simple majority-vote decision method to improve the convergence speed of the corresponding application. The iterative algorithms concurrently progressing require higher computational resources, however only the most computationally-efficient algorithm remains active after the initial convergence is achieved. Additional technique is essential to synchronize the process delays of participating algorithms.

关键词： signal processing algorithms Equalizers Convergence Delays Conferences Computational efficiency

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Parallel implementation of iterative and recursive algorithms: application on adaptive filtering in signal processing

Parallel implementation of iterative and recursive algorithm...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： J.S. Castro P. Baylou 351 Cours de la Libération Equipe Signal et Image ENSER Bordeaux Talence France

A comparison is made of techniques of parallelization applied to iterative and recursive algorithms. These algorithms are analyzed considering three criteria to generate schedules. These schedules associated with a Boolean network model, allow the detection of communication conflicts. To reduce conflict possibility, the third criterion is proposed to take into consideration the communication constraints and their influence on the multiprocessor architecture.< >

关键词： Iterative algorithms Filtering algorithms Adaptive filters signal processing algorithms Partitioning algorithms Optimal scheduling Delay Scheduling algorithm Parallel processing Transversal filters

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New digital signal processing approach to the design of the algorithms for frequency deviation measurement

New digital signal processing approach to the design of the ...

引用

Annual Conference of Industrial Electronics Society

作者： B. Perunicic M. Kezunovic P. Spasojevic Elektrotechnički Fakultet Sarajevo Yugoslavia Department of Electrical Engineering Texas A and M University College Station TX USA

A novel approach to the design of frequency deviation measurement algorithms is defined. This approach is based on a signal processing scheme that uses quadratic forms of signal samples. The approach is general, and methods to use it as a design tool for developing new algorithms are presented. The performance of an algorithm developed to illustrate the design approach is evaluated using computer simulation tests.< >

关键词： Digital signal processing signal design Algorithm design and analysis signal processing algorithms Frequency measurement Power system protection Electric variables measurement Monitoring Control systems Power system measurements

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signal processing Issues in FPGA Implementation of 3D Beamformer Using Adaptive algorithms

Signal Processing Issues in FPGA Implementation of 3D Beamfo...

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IEEE Applied signal processing Conference (ASPCON)

作者： Tanmoy Kundu Salil Kumar Sanyal Iti Saha Misra Department of Electronics and Telecommunication Engineering Jadavpur University Kolkata India

ISBN: (纸本)9781538666876

Three dimensional beamforming (3DBF) is a famed technology that enhances spectral efficiency, capacity and coverage area of the 5G networks compared to conventional two dimensional (2D) beamforming by implementing both user specific horizontal and vertical beamforming. In this paper, three LMS based adaptive spatial filtering algorithms, namely, Ang's, Mathew's and Fixed step-size LMS have been implemented and evaluated on FPGA for 3DBF scenarios. The associated signal processing issues, specifically for FPGA implementation have been critically investigated. A prototype design of a 3DBF system deploying these adaptive algorithms has been demonstrated using Xilinx Zynq®-7000 family based FPGA platform. Coexistence of Xilinx System Generator ™ and MATLAB Simulink® environment has been suitably utilized for the purpose. The performance metrics in terms of convergence properties like Mean Square Error (MSE) and Step-size along with beam pattern of all algorithms have been evaluated. Finally, hardware resource utilization of these algorithms has also been analyzed. Investigations reveal the superiority of Mathew's algorithm over the other two for 3DBF.

关键词： signal processing algorithms Field programmable gate arrays Convergence Array signal processing Hardware Prototypes

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Novel signal processing architectures for knowledge-based STAP algorithms [radar SIGPRO]

Novel signal processing architectures for knowledge-based ST...

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IEEE National Conference on Radar

作者： M.C. French Jinwoo Suh J. Damoulakis S.P. Crago Information Sciences Institute University of Southern California Arlington VA USA

New algorithms are being developed in the radar community that blend a priori knowledge source processing with traditional digital signal processing concepts. This operational blend necessitates a system-level architecture capable of delivering both high processing throughput and memory bandwidth. This paper derives these system parameters from the knowledge aided pre-whitening algorithm and evaluates the performance of two high performance embedded computing architectures, the Imagine and Raw processors, on these kernels. The implementation results are compared with the measured performance of a conventional system based on the PowerPC with Altivec. The results show these processors exhibit significant improvements over conventional systems and that each architecture has its own strengths and weaknesses.

关键词： signal processing algorithms Radar signal processing Computer architecture Spaceborne radar Synthetic aperture radar Digital signal processing Throughput Radar imaging Hardware Delay

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Subspace-based algorithms without eigendecomposition for array signal processing

Subspace-based algorithms without eigendecomposition for arr...

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

作者： P. Stoica A. Eriksson T. Soderstrom Systems and Control Group University of Uppsala Uppsala Sweden Department of Automatic Control Polytechnic Institute of Bucharest Romania

A class of subspace-based methods for estimating the direction-of-arrival (DOA) of plane waves impinging on an array of sensors is proposed. The methods estimate the DOA using only linear transformations of the data. This is of special interest for cases when the number of sensors is large and the computational advantages of these methods are significant. These methods use a less restrictive noise model and, e.g., can accommodate cases where the noise variance is different for different sensors. Large sample variance expressions for the estimates of the DOAs are derived, and the statistical properties of the proposed method are compared against the properties of multiple signal classification (MUSIC).< >

关键词： signal processing algorithms Array signal processing Sensor arrays Direction of arrival estimation Covariance matrix Multiple signal classification Cost function White noise Additive noise Control systems

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Medical signal processing by means of immune algorithms

Medical signal processing by means of immune algorithms

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E-Health and Bioengineering Conference (EHB)

作者： Hariton Costin Silviu Ioan Bejinariu Faculty of Medical Bioengineering “Grigore T Popa” Romanian Academy Iaşi Branch Iaşi Romania Institute of Computer Science Romanian Academy Iaşi Branch Iaşi Romania

Medical signals are increasingly being used within healthcare for diagnosis, planning treatment, guiding treatment and monitoring disease evolution. Medical imaging mainly treats and processes missing, ambiguous, complementary, redundant, contradictory, distorted data, and information has a strong structural character. This paper reports two “immune algorithms” based approaches for medical signal processing. Immune algorithms belong to the Artificial Immune Systems field. The first proposed approach uses the Clonal Selection Algorithm (CSA) for geometric transform estimation in image registration (IR). The second approach, the Dendritic Cell Algorithm (DCA) is used for automatic driver stress detection using biomedical signals.

关键词： Immune system signal processing algorithms Sociology Statistics Transforms Image registration Stress

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Generalized Levinson algorithms and Ladder filters for nonstationary signal processing

Generalized Levinson algorithms and Ladder filters for nonst...

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

作者： T. Kailath Information Systems Laboratory University of Stanford Stanford CA USA

The Levinson algorithm, implemented via a ladder filter, has been widely used in seismic signal processing and more recently in speech analysis. This algorithm was originally developed (in 1947) for prediction of stationary stochastic processes. It has been adapted to applications where only a single sample function (time-series) is available by the use of appropriate "window functions" to "simulate stationarity". Such windowing is often somewhat artificial and can introduce undesirable artefacts in situations where only a limited amount of data is available. However, more realistic "windowing" will destroy the analogy to the stationary stochastic process case and thus apparently prohibit use of the Levinson-ladder- filter implementations. In this talk, we shall first show how by using a concept of how close a given process is to being stationary, we can develop generalized Levinson algorithms and generalized ladder filters applicable to any stochastic process, stationary or not. The complexity of the algorithm and the filter is proportional to the distance from stationarity of the given process. We shall then show that this structure can include analyses of several windowing strategies for applications where only a single observed record is available, thus including results obtained earlier for such problems by Morf, Vieira and Lee. The present results are based on work with D. Lee and H. Lev-Ari.

关键词： signal processing algorithms Stochastic processes Contracts Information systems Laboratories Information filtering Information filters signal processing Speech analysis

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