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检索条件"主题词=Adaptive Algorithm"

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Applications of output error recursive estimation algorithms for adaptive signal processing

Applications of output error recursive estimation algorithms...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： I. Landau L. Dugard S. Cabrera Laboratoire d'Automatique Grenoble ENSIEG Saint-Martin d'Heres France

Several problems in signal processing can be approached as recursive identification problems for AR, ARMA or ARMAX models. The output error with extended estimation model adaptive algorithm is proposed and evaluated for real-time estimation of the parameters of the signal model. The applications of these techniques for the adaptive signal processing are presented. The theoretical aspects related to the convergence properties of this algorithm are also discussed.

关键词： Recursive estimation Signal processing algorithms adaptive signal processing Predictive models Estimation error algorithm design and analysis Random variables Maximum likelihood detection Context modeling adaptive algorithm

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Recursive identification techniques

Recursive identification techniques

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： L. Ljung Division of Automatic Control Department of Electrical Engineering Linköping University Linkoping Sweden

Some basic results on recursive identification techniques and their properties are reviewed. The link between adaptive algorithms, recursive identification, and off-line identification is stressed. The fundamental cha... 详细信息

关键词： adaptive algorithm Signal processing algorithms Time measurement Stochastic processes Automatic control Process control adaptive signal processing Stress Bayesian methods Distributed computing

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Thinned impulse responses for adaptive FIR filters

Thinned impulse responses for adaptive FIR filters

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： J. Treichler M. Larimore ARGOSystems Inc. Sunnyvale CA USA

Some applications of adaptive FIR filtering, such as multipath correction and interference rejection, can require very long impulse responses, and hence are often computationally expensive. This paper examines the concept of sparse filtering, that is, constraining a substantial number of the coefficients in an FIR filter to zero. This concept is particularly appropriate where a long impulse response duration is required but only a few degrees of freedom (e.g., notches) are needed. This paper examines two aspects, the effects of forcing coefficients to zero and the problem of how to select the taps to be "thinned."

关键词： Finite impulse response filter adaptive filters IIR filters Digital filters adaptive algorithm Filtering Sampling methods Interference constraints Stability Narrowband

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Comparison of some algorithms for tap weight evaluation in adaptive echo cancellers

Comparison of some algorithms for tap weight evaluation in a...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： R. Montagna L. Nebbia Centro Studi e Laboratori Telecomunicazioni S.P.A. CSELT Torino Italy

The performance of some adaptive algorithms for coefficient updating of a digital echo canceller are compared. The examined algorithms are the least mean square one (LMS), the normalized LMS and the simplified versions employing the sign information. Their performance are evaluated on the basis of the echo return loss enhancement (ERLE) steady state value and convergence speed. For the algorithms employing a linear function of the error, as gradient estimate, the resuIts show that convergence speed is dependent on the echo canceller tap number and that its trend is exponential. algorithms employing the error sign as gradient estimate are the slowest if the same variance of residual echo must be obtained. Furthermore some consideration are made in comparison with an algorithm designed in order to minimize the mean square error evaluated over a M sample block.

关键词： Echo cancellers Convergence Telephony Finite impulse response filter Least squares approximation adaptive algorithm Performance loss Steady-state Laboratories Telecommunications

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An adaptive Spread Spectrum Receiver for Multipath/Scatter Channels

An Adaptive Spread Spectrum Receiver for Multipath/Scatter C...

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MILCOM, Military Communications Conference

作者： E. T. Tsui R. Y. Ibaraki ESL Inc. Sunnyvale CA USA

Transmitted signal spectrum spreading is used to enhance multipath diversity performance. An adaptive DPSK spread spectrum multiple access receiver structure is presented for which optimal demodulation is obtained in slowly time-varying complex Gaussian scatter/multipath channels under convergence of the adaptive algorithm. The receiver performs a cross-correlation function equalization of a multipath degraded spread spectrum signal using a Stochastic Approximation technique. A potential of coherenit maximal-ratio multipath combining performance can be obtained under general slowly varying channel conditions.

关键词： Spread spectrum communication Scattering Diversity reception Differential quadrature phase shift keying Demodulation Multipath channels Convergence adaptive algorithm Degradation Stochastic processes

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Model Reference adaptive Control with Inexact Model Matching Part I

Model Reference Adaptive Control with Inexact Model Matching...

引用

American Control Conference (ACC)

作者： Kumar N. Shah R.V. Monopoli Department of Electrical and Computer Engineering University of Massachusetts Amherst MA USA

A new scheme for designing model reference adaptive control systems using only input and output measurements is presented. With the proposed scheme, the requirement on the commonly assumed a priori knowledge of (i) the relative degree n* of the plant and (ii) sign of the high frequency gain, can be eliminated. Besides the elimination of requirement of the two restrictive assumptions, the proposed algorithm has the advantage of using fewer adaptive gains and of improving the speed of convergence. The same method has also been employed to address the important problem of using a reduced order model.

关键词： adaptive control Frequency Feedback loop Transfer functions adaptive algorithm Electric variables measurement Convergence Reduced order systems Stability Closed loop systems

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An integrated processor for adaptive and parallel algorithms

An integrated processor for adaptive and parallel algorithms

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： M. Cand P. Le Scan A. Roset Centre National d''Etudes Des Telecommunications Grenoble France

The architecture and some basic applications of a single-chip software-programmable digital signal processor are presented. This NMOS 3.5 um silicon gate circuit is well-suited for adaptive algorithms and some input and output features allow easy implementation of multiprocessing architectures using several chips. These I/O ports are designed to transfer data serially or through an 8-bit bus. Their main feature is control of an internal program or transfer of instructions from an external memory without any loss of speed. This circuit incorporates a 16×16 bit hardware multiplier, a powerful unit to compute the addresses of two 128×16 bit RAMs and a 32-bit arithmetic and logical unit with accumulator and stack, all of which are connected by two data buses (16 and 25b wide). Either 16- or 25- bit words can be processed using this circuit.

关键词： Parallel algorithms Circuits Application software Digital signal processors MOS devices Silicon adaptive algorithm Random access memory Hardware Arithmetic

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Fast least-squares (LS) in the voice echo cancellation application

Fast least-squares (LS) in the voice echo cancellation appli...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： F. Soong A. Peterson Department of Electrical Engineering University of Stanford Stanford CA USA

The existing echo cancellation methods are primarily based on the LMS adaptive algorithm. Despite the fact that the LMS echo canceller works better than its predecessor-the echo suppressor, its performance can be substantially improved if the Recursive LS (RLS) algorithm is used instead. However the αp 2 operations (p: filter order) per sample required prevents the RLS algorithm from being used in this and many other applications where the filter order is relatively high. The computational complexity of the RLS has recently been brought down to αp by exploiting the shifting structure of the signal covariance matrix. Two fast algorithms, namely the LS lattice and the "fast Kalman", are used here. Comparisons between the two fast LS algorithms and the LMS gradient algorithm are made and the performance difference is demonstrated. Two important problems in voice echo cancellation: the flat delay estimation and the near-end speech detection, are approached novelly through a minimum-mean-squared-error flat delay estimator and a likelihood near-end speech detector. Simulation results are very satsifactory.

关键词： Echo cancellers Least squares approximation Resonance light scattering Delay estimation Filters Speech adaptive algorithm Computational complexity Covariance matrix Lattices

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adaptive quantization and prediction in speech coding

Adaptive quantization and prediction in speech coding

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Feng Chong-Xi Yao Hui-Juan Yang Wei-Li Department of Radio Electronics Qinghua University Beijing China

The problems of adaptive quantization and prediction in a DPCM system are analyzed. It is shown that while quantizing speech signal with an adaptive algorithm, the probability distribution of P i associated with the quantization intervals is not uniquely determined by the PDF of speech, but can be controlled by the adaptive parameters (G i ) and algorithm of adaptation. Thus, speech signal can be quantized by an optimum quantization charateristic (OGC) designed to match a specific power-limited PDF in order to meet certain SNR and entropy requirements. This paper derives a PDF with the maximum SNR which is greater than that of Gaussian PDF in 0.5dB. Moreover, the calculation of SNR in an adaptive quantizer and the method for searching adaptive parameters (G i ) are discussed. Finally, a constant-increment sequential adaptive prediction algorithm is developed. It removes multiplier with a prediction gain loss less than 0.5dB.

关键词： Quantization Speech coding Signal to noise ratio adaptive algorithm Probability density function Signal analysis Signal design Humans Noise figure Statistical distributions

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A globally stable APCS in the presence of bounded unmeasured noises and disturbances

A globally stable APCS in the presence of bounded unmeasured...

引用

IEEE Conference on Decision and Control

作者： Juan M. Martin-sanchez Department of Chemical Engineering University of Alberta Edmonton AB Canada

This paper presents a globally stable adaptive, predictive control system for discrete time multivariable linear processes with pure time-delays under the effect of measurement and process noise plus unmeasured disturbances. This solution, which extends a previous result by the author et al. [1], is based on a different approach compared to recent results in stochastic adaptive control literature. The proof of stability relies on convergence properties of the a posteriori error and the estimated parameters, which are derived from an adaptive algorithm that includes a criterion for stopping or continuing parameter adaptation. The main features of the present result are: i) the only restriction on noise and disturbances acting on the system is that they be bounded; ii) the estimated parameters converge towards the actual process parameters as much as necessary to obtain the stability results and no persistent excitation is required, and iii) the global stability results guarantee boundedness of the process input and output and minimization of the control or tracking error in terms of the absolute value.

关键词： adaptive control Parameter estimation adaptive systems Programmable control Predictive control Noise measurement Time measurement Stochastic resonance Stability criteria adaptive algorithm

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