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DIRECTION-OF-ARRIVAL TRACKING BY PARALLEL ARRAY-processing 4

DIRECTION-OF-ARRIVAL TRACKING BY PARALLEL ARRAY-PROCESSING

引用

4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： PEREZNEIRA, A LAGUNAS, MA ETSI Telecommunication (Spain)

ISBN: (纸本)0819412767

Antenna arrays collect multidimensional data that contains signals arriving from different sources. Neural Network architectures can separate the different signals, thus enabling parallel processing structures. These structures can solve a multi-signal estimation problem more efficiently than the corresponding single signal estimator. Various of these parallel architectures are evaluated in the context of array signal processing. Specifically, the scheme developed in this paper (section 2) uses the spatial diversity supplied by the aperture associated with the sensors to separate the signals and to apply them to a bank of parallel adaptive filters. These filters are then designed in accordance with a mean square error minimization criterion (i.e., a criterion based on Second Order Statistics). As Second Order Statistics assume linearity or Gaussianity they are sometimes overly restrictive. It is shown how High Order Statistics can be very useful when more general criteria such as statistical independence between the signals to be separated are imposed.

关键词： Array processing Sensors Phased arrays signal processing Antennas Digital filtering Filtering (signal processing) Error analysis Electronic filtering Mobile communications

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DETECTION OF NON-GAUSSIAN signalS USING INTEGRATED POLYSPECTRUM 4

DETECTION OF NON-GAUSSIAN SIGNALS USING INTEGRATED POLYSPECT...

引用

4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： TUGNAIT, JK Auburn Univ. (United States)

ISBN: (纸本)0819412767

We consider the problem of detecting an unknown, random, stationary, non-Gaussian signal in Gaussian noise. The most commonly used method for this problem is the so-called energy detector which can not distinguish between Gaussian and non-Gaussian signals. Recently the use of bispectrum and/or trispectrum of the signal has been suggested for improving detection performance for non-Gaussian signals. In this paper we suggest the use of an integrated polyspectrum (bispectrum or trispectrum) to possibly further enhance detection performance and to improve computational efficiency of the detectors based upon polyspectrum. We investigate conditions under which use of the integrated bispectrum is appropriate. The detector structure is derived and its performance is evaluated via simulations and comparisons with several other existing approaches.

关键词： signal detection Information technology Tantalum Sensors Statistical analysis Monte Carlo methods signal processing Interference (communication) Fourier transforms Integration

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Time-frequency domain reflectometry for smart wiring systems

Time-frequency domain reflectometry for smart wiring systems

引用

conference on advanced signal processing algorithms, architectures and implementations xII

作者： Shin, YJ Song, ES Kim, JW Park, JB Yok, JG Powers, EJ Univ Texas Dept Elect & Comp Engn Austin TX 78712 USA

ISBN: (纸本)0819445584

In this paper, a new high resolution reflectometry scheme, time-frequency domain reflectometry, is proposed to detect and locate a fault in wiring. Traditional reflectometry methods have been achieved in either the time domain or frequency domain only. However, time-frequency domain reflectometry utilizes time and frequency information of a transient signal to detect and locate the fault. The time-frequency domain reflectometry approach described in this paper is characterized by time-frequency reference signal design and post-processing of the reference and reflected signals to detect and locate the fault. Using a computational electromagnetic model of a coaxial cable with a fault, time-frequency domain reflectometry has been demonstrated. Knowledge of time and frequency localized information for the reference and reflected signal gained via time-frequency analysis, allows one to detect the fault and estimate the location accurately.

关键词： time-frequency domain reflectometry chirp signal fault detection fault location smart wiring

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CONVOLUTION, FILTERING, LINEAR-SYSTEMS, THE WIENER-KHINCHIN THEOREM - GENERALIZATIONS

CONVOLUTION, FILTERING, LINEAR-SYSTEMS, THE WIENER-KHINCHIN ...

引用

CONF ON advanced signal processing algorithms, architectures, AND implementations 3

作者： COHEN, L Rutgers Univ. (United States)

ISBN: (纸本)081940943X

A simple formulation is given for generating convolution theorems in any representation. Using this method we obtain the convolution theorem for the scale representation. We generalize the concept of invariance to any basis set and devise a method for handling linear invariant systems for arbitrary quantities. The Wiener-Khinchin theorem is generalized to arbitrary power energy densities. Also, we show how standard probability theory can be formulated in terms of signals.

关键词： Transform theory Convolution Fourier transforms Probability theory Linear filtering Electronic filtering Detection theory Information technology signal analysis Matrices

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An algorithm for weighted least squares positive time-frequency distributions

An algorithm for weighted least squares positive time-freque...

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

作者： Pitton, JW MathSoft Seattle WA 98109 1700 Westlake Ave N United States

ISBN: (纸本)0819425842

An algorithm for computing positive time-frequency distributions (TFDs) for nonstationary signals is presented. This work extends the earlier work of the author and his colleagues in computing positive TFDs [11, 15]. A general approach to the problem of computing these signal-dependent distributions is derived. The method is based on an evolutionary spectrum formulation of positive TFDs. Following earlier work [15], a relationship is derived between positive TFDs and the ambiguity function of the observed signal. In particular, it is shown that the TFD is approximately equal to the two-dimensional Fourier transform of the ambiguity function. A method for computing the positive TFD is then presented based on minimizing the squared error in this approximation subject to the TFD being positive and satisfying the time and frequency marginals. The squared error may be weighted non-uniformly, resulting in a constrained weighted least-squares optimization problem. A solution to this optimization problem based on an alternating projections framework is presented, and an example is provided. The resulting TFD provides excellent time-frequency resolution while maintaining positivity and satisfying the marginals.

关键词： signal processing time-frequency analysis time-varying signals optimization alternating projections

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Very low-noise (switching free) CNN-based adder

Very low-noise (switching free) CNN-based adder

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

作者： Sadeghi-Emamchaie, S Jullien, GA Miller, WC Univ Windsor VLSI Res Grp Windsor ON N9B 3P4 Canada

ISBN: (纸本)0819432938

This paper presents novel methods of designing analog Cellular Nonlinear (Neural) Networks (CNNs) to implement very low-noise binary addition. In these techniques the continuous characteristic of the current that charges (discharges) the load capacitor leads to a virtually switching free addition process that significantly reduces the switching noise. This switching mechanism also leads to higher slew of output voltage during the transitions which in turn reduces the cross talk. Simulation results demonstrate a three orders of magnitude reduction in the noise generated by this structure compared to that generated by a digital adder running at the same speed. This very good noise performance of these new adder structures makes them suitable choices for low to moderate speed high precision mixed signal applications.

关键词： Cellular Nonlinear Networks switching noise mixed-signal IC analog design low-noise digital adder

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Discrete time processing of linear scale invariant signals and systems

Discrete time processing of linear scale invariant signals a...

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

作者： Izzetoglu, M Onaral, B Chitrapu, P Bilgutay, N Drexel Univ Dept Elect & Comp Engn Philadelphia PA 19104 USA

ISBN: (纸本)0819437611

In this paper, we formulate a framework for discrete-time processing of Linear Scale Invariant (LSI) systems which are invariant to scale changes in time. Continuous-time LSI systems can be processed by Mellin and Modified Scale Transforms analogous to the use of the Laplace and Fourier Transforms in the continuous-time processing of LTI systems. In this work, we present the geometric sampling theorem to prevent aliasing in the scale domain. We also derive the perfect reconstruction filter in time domain, the discrete-time convolution sum, the Discrete Time Modified Scale Transform (DTMST) and the Discrete Modified Scale Transform (DMST) for geometrically sampled signals.

关键词： Transform theory Fourier transforms Convolution Electronic filtering signal processing Statistical analysis Toxic industrial chemicals Biomedical optics Computing systems Telecommunications

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Wavelet windowed time-frequency distribution decompositions

Wavelet windowed time-frequency distribution decompositions

引用

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

作者： Williams, WJ Sang, TH ONeill, JC Zalubas, EJ Univ. of Michigan (United States)

ISBN: (纸本)0819425842

This paper outlines means of combining and reconciling concepts associated with Cohen's class of distributions and with the wavelet transform. Both have their assets and their liabilities. Previous work has shown that one can decompose any time-frequency distribution (TFD) in Cohen's class into a weighted sum of spectrogram. A set of orthogonal analysis windows which also have the scaling property in common with wavelets is proposed. Successful application of this theory offers very fast computation of TFDs, since very few analysis windows may be needed and fast algorithms can be used. In addition, the decomposition idea offers the possibility of shaping the analysis such that good local and global properties as well as a number of desirable TFD properties are retained. Finally, one may view the result in terms of conventional Cohen's class concepts or, alternatively, in terms of wavelet concepts and potentially combine powerful insights and concepts from both points of view. Preliminary results applied to radar backscatter are provided. Performance curves for several wavelet types are also provided.

关键词： time-frequency wavelets signal decomposition radar fast algorithms

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A NEW ALGORITHM FOR RATIONAL SUBSPACE ESTIMATION BASED ON CASCADABLE ADAPTIVE LOSSLESS FILTERS 4

A NEW ALGORITHM FOR RATIONAL SUBSPACE ESTIMATION BASED ON CA...

引用

4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： FIJALKOW, I LOUBATON, P REGALIA, PA Telecom Paris Dept. Signal 46 rue Barrault Paris Cedex 13 75634 France Institut National des Telecommunications 9 rue Charles Fourier Evry Cedex 91011 France

ISBN: (纸本)0819412767

In a previous work, a time domain algorithm was proposed to adaptively estimate a rational and orthonormal spanning of a rational subspace. However, its convergence was not proved and it seems that asymptotic misbehaviour may occur. A new algorithm is proposed, for which satisfactory convergence properties hold. It provides robustness with regard to the signal model and shows an especially good asymptotical performance for small SNR. © 1993 SPIE. All rights reserved.

关键词： Time domain analysis

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Toward blind removal of unwanted sound from orchestrated music

Toward blind removal of unwanted sound from orchestrated mus...

引用

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

作者： Chang, SY Chun, J Univ Suwon Dept Elect Engn Kyungki do South Korea

ISBN: (纸本)0819437611

The problem addressed in this paper is to removing unwanted sounds from music sound. The sound to be removed could be disturbance such as cough. We shall present some preliminary results on this problem using statistical properties of signals. Our approach consists of three steps. We first estimate the fundamental frequencies and partials given noise-corrupted music sound. This gives us the autoregressive (AR) model of the music sound. Then se filter the noise-corrupted sound using the AR parameters. The filtered signal is then subtracted from the original noise-corrupted signal to get the disturbance. Finally the obtained disturbance is used as reference signal to eliminate the disturbance from the noise-corrupted music signal. Above three steps are carried out in a recursive manner using a sliding window or an infinitely growing window with an appropriate forgetting factor.

关键词： Wiener filter music signal processing interference cancellation

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