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Random array processing for micromachined sensor network

Random array processing for micromachined sensor network

引用

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

作者： Yao, K Reed, C Hudson, R Lorenzelli, F Univ. of California/Los Angeles (United States)

ISBN: (纸本)0819425842

This paper considers ''blind beamforming'' operations on a wireless network of randomly distributed MEM sensors. Maximum power collection criterion is proposed and results in array weights obtained from the eigenvector corresponding to largest eigenvalue of a matrix eigenvalue problem. Theoretical justification of this approach to an extension of Szego's asymptotic distribution of eigenvalues is provided. Numerical results on propagation time delay estimation and loss of coherency due to propagation disturbances are presented.

关键词： random array array processing beamforming MEM sensor sensor network

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Towards a theory of information processing on the time-frequency plane

Towards a theory of information processing on the time-frequ...

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

作者： Aviyente, S Michigan State Univ E Lansing MI 48824 USA

ISBN: (纸本)0819454974

Information processing theory aims to quantify, how well signals encode information and how well systems process information. Time-frequency distributions have been used to represent the energy distribution of time-varying signals for the past twenty years. There has been a lot of research on various properties of these representations. However, there is a general lack of quantitative analysis in describing the amount of information encoded into a time-frequency distribution. This paper aims to quantify how well time-frequency distributions represent information by using information-theoretic distance measures. Different distance measures, such as Kullback-Leibler distance, Renyi distance, will be adapted to the time-frequency plane. Their performance in quantifying the information in a given signal will be compared. A sensitivity analysis for different distance measures will be carried out to assess their robustness under perturbation. Different example signals will be considered for illustrating the information processing in time-frequency distributions.

关键词： Data processing

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Computer arithmetic for the processing of media signals

Computer arithmetic for the processing of media signals

引用

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

作者： Oklobdzija, VG Farooqui, AA Univ Calif Davis Dept Elect & Comp Engn ACSEL Davis CA 95616 USA

ISBN: (纸本)0819437611

Media signal processing requires high computing power and the algorithms exhibit a great deal of parallelism on low precision data. The basic components of multi-media objects are usually simple integers with 8, 12, or 16 bits of precision. In order to support efficient processing of media signals, Instructions Set Architecture (ISA) of the traditional processors requires modifications. In this paper, we present the quantitative analysis and the computational complexity required to perform media processing. Main classes of instructions that are needed for the required level of performance of the Media Processor are identified. Their efficient implementation and effect on the processor data-path is discussed. The main operations required in media processing are Addition (with or without saturation), Multiplication (with or without rounding), Sum of Products, and Average of two numbers.

关键词： ISG SIMD VLSI media processor MPEG media arithmetic IDCT FFT addition multiplication

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Multi-scale blind deconvolution of sensor array signals via scale transform

Multi-scale blind deconvolution of sensor array signals via ...

引用

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

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

ISBN: (纸本)0819432938

In this paper we introduce a. multi-scale deconvolution technique performed in the scale-domain. In sensor array applications such as in radar, sonar and seismic processing, the sensor outputs are modeled as the convolution of the unknown source signal with various unknown system impulse responses that are scaled versions of each other with unknown scale parameters. In many applications these signals or the scaling parameters are needed to be estimated only from the sensor outputs. In our earlier work, we estimated the unknown scale parameters by using properties of the scale transform and then employed existing deconvolution algorithms. Here, we derive the multiscale blind deconvolution algorithm in the scale transform domain. The performance of the method is illustrated using simulation examples.

关键词： Sensors Deconvolution Reflectors Convolution signal processing Algorithm development Computer simulations Electronic filtering Image processing Radar

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advanced signal processing algorithms, architectures, and implementations III

Advanced Signal Processing Algorithms, Architectures, and Im...

引用

advanced signal processing algorithms, architectures, and implementations III

ISBN: (纸本)081940943X

This conference proceedings contains 39 papers. The topics discussed are algorithmic engineering, algorithm implementations, parallel processing systems, pipeline processing systems, signal processing architectures, array processing and direction finding, time frequency signal analysis, higher-order spectra, signal theory, wavelets, and time-frequency distributions.

关键词： Digital signal processing

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Proceedings of SPIE: advanced signal processing algorithms, architectures, and implementations XI

Proceedings of SPIE: Advanced signal processing algorithms, ...

引用

advanced signal processing: algorithms, architectures and implementations XI

The proceedings contains 56 papers from the conference on SPIE: advanced signal processing algorithms, architectures, and implementations XI. The topics discussed include: modulation frequency and efficient audio coding;application of wavelet- and wavelet-packet-transform to human skin data;Wigner distribution and pulse propagation;time-frequency analysis using sidelobe apodization;spectral phase algorithm for detecting and estimating pitch;and minimum entropy approach to denoising time-frequency distributions.

关键词： signal processing

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Wigner equations of motion for classical systems

Wigner equations of motion for classical systems

引用

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

作者： Galeani, L Cohen, L CUNY New York NY 10021 USA

ISBN: (纸本)0819437611

We present a general procedure for obtaining equations of motion for the Wigner distribution of functions that are governed by ordinary and partial differential equations. For the case of fields we show that in general one must consider Wigner distributions of the four variables, position, momentum, time and frequency. We also show that in general one cannot write an equation of motion for position and momentum however it can be done in some cases, the Schrodinger equation being one such case. Our method leads to an equation of motion for the Schrodinger equation with time dependent potentials in contrast to the result obtained by Wigner and Moyal which was for time independent potentials.

关键词： Ordinary differential equations Partial differential equations Fourier transforms Oscillators Differential equations Acoustics Electromagnetism signal processing Switches

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Local signal to noise ratio

Local signal to noise ratio

引用

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

作者： Galleani, Lorenzo Cohen, Leon Nelson, Douglas CUNY 695 Pk Ave New York NY 10021 USA US Dept Def Ft George G Meade MD 20755 USA Politecn Torino Dipartimento Elettron I-10129 Turin Italy

ISBN: (纸本)0819463922

We argue that the standard definition of signal to noise ratio may be misleading when the signal or noise are nonstationary. We introduce a new measure that we call local signal to noise ratio (LSNR) which is well suited to take into account nonstationary situations. The advantage of our measure is that it is a local property unlike the standard SNR which is a single number representing the total duration of the signal. We simulated a number of cases to show that our measure is more indicative of the noise and signal level for nonstationary situations.

关键词： signal to Noise Ratio time-frequency white noise

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Regularized image restoration using sequential and parallel architectures

Regularized image restoration using sequential and parallel ...

引用

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

作者： Sundaram, R INFORMAT SYST INC W LAFAYETTEIN 47906

ISBN: (纸本)0819425842

This paper presents discrete thresholded binary networks of the Hopfield-type as feasible configurations to perform image restoration with regularization. The typically large scale nature of image data processing is handled by partitioning these structures and adopting sequential or parallel update strategies on the partitions one at a time. Among the advantages of such architectures are the ability to efficiently utilize space-bandwidth constrained resources, obviate the need for zero self-feedbackconnections in sequential procedures and diminish the likelihood of limit cycling in parallel approaches. In the case of image data corrupted by blurring and AWGN, the least squares solution is attained in stages by switching between partitions to force energy descent. Two forms of partitioning have been discussed. The partial neuron decomposition is seen to be more efficient than the partial data strategy. Further, parallel update procedures are more practical from an electro-optical standpoint. The paper demonstrates the viability of these architectures through suitable examples.

关键词： partitioned structures partial neuron decomposition sequential and parallel updates

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Evolutionary spectrum estimation by deconvolving bilinear time-frequency distributions

Evolutionary spectrum estimation by deconvolving bilinear ti...

引用

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

作者： Emresoy, MK El-Jaroudi, A Univ Pittsburgh Real Time Signal Proc Lab Pittsburgh PA 15261 USA

ISBN: (纸本)0819429163

A deconvolution technique to estimate the Evolutionary Spectrum (ES) of nonstationary signals by deconvolving the blurring effects of the kernel function fi om bilinear time frequency distributions (TFD) is presented. The resulting ES has desirable properties such as positivity, higher resolution, higher concentration in time-frequency. The proposed algorithm is computationally more efficient compared to the recently proposed entropy based deconvolution method. Unlike the entropy method the new algorithm can be adapted to deconvolve TFDs other than the spectrogram.

关键词： evolutionary spectrum bilinear time-frequency distributions deconvolution

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