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检索条件"任意字段=Conference on Advanced Signal Processing Algorithms, Architectures, and Implementations VI"

共 176 条记录，以下是21-30 订阅

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Generalization of the autocorrelation function

Generalization of the autocorrelation function

引用

SPIE conference on advanced signal processing algorithms, architectures, and implementations viII

作者： Cohen, L CUNY Hunter Coll New York NY 10021 USA

ISBN: (纸本)0819429163

We generalize the concept of the autocorrelation function to arbitrary physical variables and show how it can be used to define a local autocorrelation function. Using the local autocorrelation function we develop a new method to generate densities for arbitrary physical quantities. In addition, we show that the generalized autocorrelation function can be used to characterize functions with respect to a physical property.

关键词： Time-frequency analysis Fourier transforms Astatine signal processing

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Convergence results on adaptive approximate filtering 6

Convergence results on adaptive approximate filtering

引用

conference on advanced signal processing algorithms, architectures, and implementations vi

作者： Ludwig, JT Nawab, SH Chandrakasan, AP MIT ELECT RES LABCAMBRIDGEMA 02139

ISBN: (纸本)0819422347

We present an IIR filtering technique based upon a recently proposed approach for reducing power consumption in implementation of frequency-selective filters. The basic idea in such techniques is to utilize the most recent input and output signal samples to estimate the current SNR (defined as the ratio of the in-band signal power to the out-of-band signal power) at the filter's input. This estimated input SNR is then used to update the filter order to the minimum value which would guarantee a minimum tolerable SNR at the filter's output. A key issue addressed in this paper is how well the estimated filter order converges to the theoretical minimum for situations satisfying the assumptions behind the derivation of the technique. Experimental results are used to verify that convergence to the correct filter order depends (1) upon the number of input and output samples used for estimating the input SNR, (2) upon the filter order applied in generating the output samples that are used in estimating the input SNR and (3) upon the proximity of the actual input SNR to boundaries in the input-SNR space corresponding to changes in the optimal choice for filter order.

关键词： low power approximate processing incremental refinement structure frequency-selective filtering Butterworth filters adaptive filtering

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Solution of differential equations using the smoothed Wigner distribution

Solution of differential equations using the smoothed Wigner...

引用

conference on advanced signal processing algorithms, architectures, and implementations XI

作者： Galleani, L Cohen, L Politecn Torino I-10129 Turin Italy

We present a method for writing the differential equation for the smoothed Wigner distribution that corresponds to the solution of an ordinary linear differential equation. The method can be applied on an, linear ordi... 详细信息

ISBN: (纸本)0819441880

关键词： Differential equations Ordinary differential equations Standards development Convolution Fourier transforms Smoothing Einsteinium Partial differential equations signal processing Time-frequency analysis

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Wave propagation with dispersion and damping

Wave propagation with dispersion and damping

引用

conference on advanced signal processing algorithms, architectures, and implementations XIV

作者： Cohen, L CUNY New York NY 10021 USA

ISBN: (纸本)0819454974

We discuss pulse propagation in a dispersive medium with damping. We derive an explicit expression for the center of mass motion and show that when there is damping the center of mass does not travel with constant velocity, as is the case when there is no damping. We also derive an explicit relation connecting pulse propagation in the damped case with that of the undamped case. This allows the transformation from one case to the other. A number of exactly solvable examples are given to illustrate the equations derived.

关键词： Wave propagation Dispersion Fourier transforms Differential equations signal attenuation signal processing

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Scale-cumulant domain deconvolution of sensor array signals

Scale-cumulant domain deconvolution of sensor array signals

引用

conference on advanced signal processing algorithms, architectures, and implementations X

作者： Izzetolu, M Akgül, T Drexel Univ Dept Elect & Comp Engn Philadelphia PA 19104 USA

ISBN: (纸本)0819437611

In this paper we combine two recently developed multi-scale deconvolution algorithms, known as the scale-time domain method and the sum-of-cumulants domain method. We formulate the deconvolution problem in the scale-cumulant domain using the Scale Transform (ST) and show that the procedure is simpler when the unknown source signal is non-minimum phase and robust if Gaussian noise exists.

关键词： Sensors Deconvolution Electronic filtering Interference (communication) Algorithm development Reflectors signal processing Convolution Detection theory Image processing

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Neural model-based motion estimation

Neural model-based motion estimation

引用

conference on advanced signal processing - algorithms, architectures, and implementations viI

作者： Szostakowski, J Skoneczny, S Iwanowski, M Warsaw Univ. of Technology (Poland)

ISBN: (纸本)0819425842

In this paper a novel method of estimating displacement of moving objects from one frame to the next in the image sequence is presented. This method is based on using the artificial neural networks for different models of motion. The two model is examined: affine flow and planar surface motion. Various circuit architectures of simple neuron-like processors are considered for estimation of motion parameters. The efficiency of the proposed networks are investigated by computer simulation for using in video processing.

关键词： image processing neural networks video processing motion estimation

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Application of higher-order cepstral techniques in problems of fetal heart signal extraction 6

Application of higher-order cepstral techniques in problems ...

引用

conference on advanced signal processing algorithms, architectures, and implementations vi

作者： SabryRizk, M Zgallai, W Hardiman, P ORiordan, J CITY UNIV LONDON DEPT ELECT ENGNSIGNAL PROC GRPLONDON EC1V 0HBENGLAND

ISBN: (纸本)0819422347

Recently, cepstral analysis based on second order statistics and homomorphic filtering techniques have been used in the adaptive decomposition of overlapping, or otherwise, and noise contaminated ECG complexes of mothers and fetals obtained by a transabdominal surface electrodes connected to a monitoring instrument, an interface card, and a PC. Differential time delays of fetal heart beats measured from a reference point located on the mother complex after transformation to cepstra domains are first obtained and this is followed by fetal heart rate variability computations. Homomorphic filtering in the complex cepstral domain and the subuent transformation to the time domain results in fetal complex recovery. However, three problems have been identified with second-order based cepstral techniques that needed rectification in this paper. These are (1) errors resulting from the phase unwrapping algorithms and leading to fetal complex perturbation, (2) the unavoidable conversion of noise statistics from Gaussianess to non-Gaussianess due to the highly non-linear nature of homomorphic transform does warrant stringent noise cancellation routines, (3) due to the aforementioned problems in (1) and (2), it is difficult to adaptively optimize windows to include all individual fetal complexes in the time domain based on amplitude thresholding routines in the complex cepstral domain (i.e. the task of `zooming' in on weak fetal complexes requires more processing time). The use of third-order based high resolution differential cepstrum technique results in recovery of the delay of the order of 120 milliseconds.

关键词： advanced signal processing techniques non-linear adaptive filtering differential bicepstral applications non-invasive fetal ECG monitoring

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What are the time-frequency moments of a signal?

What are the time-frequency moments of a signal?

引用

conference on advanced signal processing algorithms, architectures, and implementations XI

作者： Loughlin, PJ Univ Pittsburgh Dept Elect Engn Pittsburgh PA 15261 USA

ISBN: (纸本)0819441880

We review, recent work on defining the time-frequency moments of a signal. Expressions are given for moments dropt(m)drop(omega), and of all orders n, m, in terms of the amplitude and phase of the signal and spectrum. Knowing the time-frequency moments is of interest for a variety of reasons. including their potential utility as features for classification of nonstationary signals, and also because from the moments one call construct the time-varying spectral density, or approximate it using a few moments.

关键词： instantaneous frequency instantaneous bandwidth skew kurtosis moments spectral analysis

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FPOP: Field Programmable On-line oPerators

FPOP: Field Programmable On-line oPerators

引用

conference on advanced signal processing algorithms, architectures, and implementations IX

作者： Tisserand, A Marchal, P Piguet, C CSEM Neuchatel Switzerland

ISBN: (纸本)0819432938

This paper describes a new digital reprogrammable architecture called Field Programmable On-line oPerators (FPOP). This architecture is a kind of FPGA dedicated to very low-power implementations of numerical algorithms in signal processing or digital control applications for embedded or portable systems. FPOP is based on a reprogrammable array of on-line arithmetic operators. On-line arithmetic is a digit-serial arithmetic with most significant digits first using a redundant number system. Because of the small size of the digit-serial operators and the small number of communication wires between the operators, single chip implementation of complex numerical algorithms can be achieved using on-line arithmetic. Furthermore, the digit-level pipeline and the small size of the arithmetic operators lead to high-performance parallel computations. Compared to a standard FPGA, the basic cells in FPOP are arithmetic operators such as adders, subtracters, multipliers, dividers, square-rooters, sine or cosine operators. This granularity level allows very efficient power x delay implementations of most algorithms used in digital control and signal processing. The circuit also integrates some analog to digital and digital to analog converters.

关键词： FPGA reconfigurable logic on-line arithmetic digital control signal processing

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A DSP implementation of source location using microphone arrays 6

A DSP implementation of source location using microphone arr...

引用

conference on advanced signal processing algorithms, architectures, and implementations vi

作者： Rabinkin, DV Renomeron, RJ Dahl, A French, JC Flanagan, JL Bianchi, MH RUTGERS STATE UNIV CTR COMP AIDS IND PRODPISCATAWAYNJ 08855

ISBN: (纸本)0819422347

The design, implementation, and performance of a low-cost, real-time DSP system for source location is discussed. The system consists of an 8-element electret microphone array connected to a signalogic DSP daughterboard hosted by a PC. The system determines the location of a speaker in the audience in an irregularly shaped auditorium. The auditorium presents a non-ideal acoustical environment;some of the walls are acoustically treated, but there still exists significant reverberation and a large amount of low frequency noise from fans in the ceiling. The source location algorithm is implemented in a two step process: The first step determines time delay of arrival (TDOA) for select microphone pairs. A modified version of the Cross-Power Spectrum Phase Method is used to compute TDOAs and is implemented on the DSP daughterboard. The second step uses the computed TDOAs in a least mean squares gradient descent search algorithm implemented on the PC to compute a location estimate. © 1996 SPIE. All rights reserved.

关键词： microphone arrays speech source location real-time processing

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