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检索条件"主题词=Signal processing algorithms"

共 43524 条记录，以下是61-70 订阅

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The ATAMM procedure model for concurrent processing of large grained control and signal processing algorithms

The ATAMM procedure model for concurrent processing of large...

引用

IEEE National Conference on Aerospace and Electronics (NAECON)

作者： J.W. Stoughton R.R. Miekle Department of Electrical and Computer Engineering Old Dominion University USA Dept. of Electr. & Comput. Eng. Old Dominion Univ. Norfolk VA USA

An overview is presented of a model for describing data and control flow associated with the execution of large-grained, decision-free algorithms in a special distributed computer environment. The ATAMM (Algorithm-To-Architecture Mapping Model) model provides a basis for relating an algorithm to its execution in a dataflow multicomputer environment. The ATAMM model features a marked graph Petri net description of the algorithm behavior with regard to both data and control flow. The model provides an analytical basis for calculating performance bounds on throughput characteristics which are demonstrated here.< >

关键词： Process control signal processing signal processing algorithms Computer architecture Concurrent computing Distributed computing Data flow computing Analytical models Performance analysis Parallel architectures

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Ultrawideband signal processing algorithms for Radars and Sodars

Ultrawideband Signal Processing Algorithms for Radars and So...

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International Conference on Ultrawideband and Ultrashort Impulse signals, UWBUSIS

作者： F. J. Yanovsky R. B. Sinitsyn National Aviation University Kieiv Ukraine

In this paper we use statistical approach to synthesize algorithms for digital signal processing in UWB noise radar and sodar. Parametrical and non-parametrical algorithms are synthesized and analyzed. Experimental check is done on the basis of developed acoustic physical model which is used to build a noise sodar prototype. Developed algorithms can be used in noise radars for different applications. The use of the UWB noise signal provides a very high resolution both in speed and range

关键词： Ultra wideband technology signal processing algorithms Radar signal processing Ultra wideband radar Acoustic imaging Acoustic noise signal synthesis Digital signal processing Algorithm design and analysis Prototypes

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On the "Desired behavior" of adaptive signal processing algorithms

On the "Desired behavior" of adaptive signal processing algo...

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

作者： D. Farden J. Goding K. Sayood Department of Electrical Engineering University of Rochester Rochester NY USA

Sufficient conditions are presented for establishing "desirable" convergence properties of commonly used adaptive signal processing algorithms which use correlated training data. The family of algoriths considered includes the Widrow LMS algorithm. Desirable properties include, e.g., an asymptotic bound on the mean-square error between the parameter vector trained by the adaptive algorithm and the optimal solution. This asymptotic bound should decrease with decreasing step size. The results contained in this paper illustrate the trade-offs involved in choosing the step size to achieve an acceptable convergence rate as well as an acceptable steady state error. The sufficient conditions include bounded data and easily verified covariance decay rate conditions.

关键词： Adaptive signal processing signal processing algorithms Training data Convergence Sufficient conditions Adaptive equalizers Random sequences Hardware Eigenvalues and eigenfunctions

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Decrease in the computational complexity of the signal processing algorithms for passive radars using the signals of illuminators of opportunity

Decrease in the computational complexity of the signal proce...

引用

Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Eugeniy V. Rogozhnikov Dmitriy A. Pokamestov Renat R. Abenov Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

This article describes methods to reduce the computational complexity of signal processing algorithms in passive radar systems using signals of opportunity. Review of existing algorithms is produced. signal processing algorithms for passive radar systems, which reduces the computational cost are developed. Noise influence to the proposed algorithm is investigated.

关键词： Passive radar signal processing algorithms Electron devices Lighting Correlation Correlators

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Efficient implementation of one and two dimensional digital signal processing algorithms on a multi-processor architecture

Efficient implementation of one and two dimensional digital ...

引用

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

作者： T. Barnwell S. Gaglio C. Hodges Georgia Institute of Technology Atlanta Georgia School of Electrical Engineering Georgia Institute of Technology Atlanta GA USA

This paper describes the features of a multimicroprocessor architecture for digital signal processing. The use of a multiport optical memory as a design component, along with the synchronous operation of the processors, allows particularly efficient implementation for one and two dimensional finite impulse response and infinite impulse response filters. This paper also describes an approach to the automatic generation of efficient code for the multi-microprocessor architecture being implemented for a class of linear DSP algorithms.

关键词： Digital signal processing signal processing algorithms Fires Sun Kernel Processor scheduling Concurrent computing Equations Counting circuits

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Fast multiscale statistical signal processing algorithms

Fast multiscale statistical signal processing algorithms

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

作者： A.H. Tewfik M.J. Kim Department of Electrical Engineering University of Minnesota Minneapolis MN USA

It is shown that a large set of (not necessarily stationary) correlation matrices may be transformed into a matrix that consists of essentially banded subblocks. The transformation is accomplished by premultiplication and postmultiplication with an orthogonal matrix whose elements are derived from the impulse response of a suitably designed cascade of alias-free multirate analysis filter banks. It is further proved that the Cholesky factor of the transformed matrix also consists of essentially banded subblocks. These two observations are combined to show that the linear positive definite systems of equations that arise in statistical signal processing can be solved in O(max(N log/sup 2/ (N), N/sup 2/)) operations while matrix-vector multiplication steps may be implemented in O(N log (N)) operations. An error analysis of the proposed linear positive definite system solver is also provided.< >

关键词： signal processing algorithms Filter bank Wavelet analysis Equations Matrix decomposition signal analysis Linear systems Discrete wavelet transforms signal processing Error analysis

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Efficient signal processing algorithms for Radar and Telecommunication Systems

Efficient Signal Processing Algorithms for Radar and Telecom...

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International Conference on Advances in Computing, Communications and Informatics

作者： Rostislav I. Sokolov Denis A. Dolmatov Renat R. Abdullin Institute of Radioelectronics and Informational Technologies Ural Federal University named after the first President of Russia B.N. Yeltsin Yekaterinburg Russian Federation

ISBN: (纸本)9781509020300

It is proposed to develop a quasi-optimal RF-pulse signal receiver algorithm based on Markov theory of nonlinear filtering. Evaluating the synthesized algorithm efficiency is founded on a semi-natural experiment of processing the signal mixed with Johnson or white Gaussian noises. The developed algorithm has been simulated in Simulink MatLab. The experiment was implemented on the installation of the wireless communication National Instruments PXIe-1075. The gain in the signal to noise ratio of the nonlinear Markov filtering algorithm compared with the adaptive algorithm is from 2 to 5 dB for white Gaussian noise and various Johnson noises for correct reception error probability equaled to 0.1. The S_L Johnson noise has the best masking effect, and the S_B Johnson noise has the worst one.

关键词： Adaptive filters Digital signal processing Filtering algorithms Gaussian noise Markov processes Nonlinear filters signal processing algorithms

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Adaptive signal processing algorithms for time delay estimates and tracking

Adaptive signal processing algorithms for time delay estimat...

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Southeastern Symposium on System Theory

作者： S. Park Y.T. Kim Department of Electrical Engineering University of Pittsburgh Pittsburgh PA USA Department of Electrical Engineering Parks College of Saint Louis University Cahokia IL USA

A detail comparison of two adaptive algorithms for time-delay estimation and moving-source tracking is presented. These are: (1) B. Widrow's least-mean-square algorithm (1975), and (2) an adaptive short-term correlator algorithm. The desired comparison is carried out using a digital computer simulation. Bandlimited signals which are perturbed by white Gaussian noise and received at two sensors are considered at various bandwidths and signal-to-noise ratios.< >

关键词： Adaptive signal processing signal processing algorithms Delay effects Delay estimation Adaptive algorithm Correlators Computer simulation Gaussian noise Bandwidth signal to noise ratio

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Multi-channel data acquisition for implementation of real time signal processing algorithms

Multi-channel data acquisition for implementation of real ti...

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IEEE International Conference on Multi Topic

作者： A.G. Hashmi M.A. Butt Lahore University of Management Sciences Lahore Pakistan National University of Computer and Emerging Sciences Lahore Pakistan

Many signal processing applications like blind source signal separation, audio beam etc. require multi-channel synchronous data acquisition. These applications require signal to be acquired from multiple inputs that digitize the signal synchronously to preserve the phase relationship. In this paper, we present the design and implementation of a multi-channel data acquisition system using a personal computer (PC). Our design does not require installation of any interface card or any other modification in the circuitry of the PC. Rather, we use the analog joystick port, found in most of the personal computers with a sound card to implement our design. Our design replaces the variable resistors of the joystick with a simple circuit that enables us to synchronously digitize four analog signals and store them. Our circuit also changes the DC bias of the analog signals and detects any lost samples due to delayed response of the host computer. To minimize the possibility of losing the samples during data acquisition, we use a modified Linux kernel.

关键词： Data acquisition signal processing algorithms Circuits Microcomputers Source separation Application software signal design Resistors signal detection Delay

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Application of signal processing algorithms in microwave applications

Application of signal processing algorithms in microwave app...

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SBMO/IEEE MTT-S International Conference on Microwave and Optoelectronics (IMOC)

作者： T.K. Sarkar Department of Electrical and Computer Engineering Syracuse University Syracuse NY USA

The objective of this paper is to illustrate that the principle of analytic continuation can be utilized to interpolate/extrapolate either computational results or measured data in efficient fashion instead of utilizi... 详细信息

关键词： signal processing algorithms Partial differential equations Differential equations Parameter estimation Integral equations Boundary value problems Application software Force measurement Interpolation Calculus

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