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检索条件"任意字段=Advanced Signal Processing Algorithms, Architectures, and Implementations VI 1996"

共 109 条记录，以下是21-30 订阅

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SYSTEMATIC CONSTRUCTION OF ORDER-RECURSIVE LS ESTIMATION algorithms WITH ELEMENTARY ORTHOGONAL TRANSFORMATIONS 4

SYSTEMATIC CONSTRUCTION OF ORDER-RECURSIVE LS ESTIMATION ALG...

引用

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

作者： LING, F Motorola (United States)

ISBN: (纸本)0819412767

This paper demonstrates that order-recursive least squares (ORLS) algorithms based on orthogonal transformations and hyperbolic transformations can be systematically constructed in two steps. The first step is to determine the structure of the ORLS algorithm according to the property of the data vector in the LS estimation and the requirements to the output. The second step is to determine the proper implementation of building blocks of the ORLS structure using orthogonal or hyperbolic transformations. The canonical ORLS structure and some possible orthogonal/hyperbolic implementations of their building blocks are presented. It is also shown that some of the orthogonal transformations are only applicable to certain types of ORLS structures and not to others.

关键词： Algorithm development Error analysis Detection and tracking algorithms Digital signal processing Expectation maximization algorithms Statistical analysis Factor analysis Magnesium Roads Telecommunications

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ERROR PROPAGATION OF SOME FAST RLS algorithms 4

ERROR PROPAGATION OF SOME FAST RLS ALGORITHMS

引用

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

作者： QIAO, SZ McMaster Univ. (Canada)

ISBN: (纸本)0819412767

The fast recursive least squares (RLS) algorithms have wide applications in signal processing and control. They are computationally efficient. Thus their stability is of major concern. In this paper, we investigate the error propagation and stability of some typical fast RLS algorithms. Through a random example, we show that a typical conventional fast RLS algorithm is weakly unstable in computing both the residuals and the gain vectors and a QR based algorithm is expected to be weakly stable in computing the residuals but weakly unstable in computing the gain vectors. We propose an error correction scheme for computing the gain vectors.

关键词： Algorithm development Condition numbers MATLAB Lead Process control signal processing Analytical research

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Separating desired image and signal invariant components from extraneous variations 6

Separating desired image and signal invariant components fro...

引用

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

作者： Williams, WJ Zalubas, EJ Hero, A UNIV MICHIGAN DEPT ELECT ENGN & COMP SCIANN ARBORMI 48109

ISBN: (纸本)0819422347

Images and signals can be characterized by representations invariant to time shifts, spatial shifts, frequency shifts, and scale changes as the situation dictates. Advances in time-frequency analysis and scale transform techniques have made this possible. The next step is to distinguish between invariant forms representing different classes of image or signal. Unfortunately, additional factors such as noise contamination and `style' differences complicate this. A ready example is found in text, where letters and words may vary in size and position within the image segment being examined. Examples of complicating variations include font used, corruption during fax transmission, and printer characteristics. The solution advanced in this paper is to cast the desired invariants into separate subspaces for each extraneous factor or group of factors. The first goal is to have minimal overlap between these subspaces and the second goal is to be able to identify each subspace accurately. Concepts borrowed from high-resolution spectral analysis, but adapted uniquely to this problem have been found to be useful in this context. Once the pertinent subspace is identified, the recognition of a particular invariant form within this subspace is relatively simple using well-known singular value decomposition techniques.

关键词： scale transform Mellin transform wordspotting singular value decomposition character recognition time-frequency

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DISTRIBUTIONS CONCENTRATED ALONG THE INSTANTANEOUS FREQUENCY

DISTRIBUTIONS CONCENTRATED ALONG THE INSTANTANEOUS FREQUENCY

引用

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

作者： COHEN, L Hunter College/CUNY (United States)

We show that for purely frequency modulated signals one can always find a distribution which is infinitely concentrated along its instantaneous frequency. For signals that are both frequency and amplitude modulated we... 详细信息

ISBN: (纸本)0819404098

关键词： Frequency modulation Modulation Fermium Phase shift keying Amplitude modulation Algorithm development Phase modulation Time-frequency analysis signal analysis Tellurium

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What are the time-frequency moments of a signal?

What are the time-frequency moments of a signal?

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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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HIGHLY PIPELINED VLSI ARCHITECTURE FOR COMPUTATION OF FAST FOURIER-TRANSFORMS 4

HIGHLY PIPELINED VLSI ARCHITECTURE FOR COMPUTATION OF FAST F...

引用

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

作者： YEH, HJ Ecole Normale Superieure de Lyon (South Korea)

ISBN: (纸本)0819412767

An on-chip VLSI architecture for computation of Fourier transforms is presented. It performs the arithmetic operations in a digit-level pipeline fashion. For this purpose, the implementation of arithmetic operators is based on on-line (i.e., digit-serial and most significant digit first) arithmetic, and the transforms are performed by a parallel-pipeline version of the Cooley- Tukey fast Fourier transform (FFT) algorithm.

关键词： Fourier transforms Very large scale integration Transform theory Binary data Computer architecture Computing systems Matrices Network architectures Digital signal processing signal processing

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EFFICIENT BEAM-BASED ADAPTIVE processing FOR PLANAR ARRAYS

EFFICIENT BEAM-BASED ADAPTIVE PROCESSING FOR PLANAR ARRAYS

引用

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

作者： KRATZER, SG Supercomputing Research Ctr. (United States)

ISBN: (纸本)0819404098

Beam-based adaptive processing is an economical way to achieve good interference rejection performance from an adaptive receiving array, at much less computational cost than full element-based methods. However, to exploit this potential for planar arrays it is necessary to identify, in real time, which beams must be retained for adaptive concellation. This paper analyzes the beam-selection problem and presents a computationally efficient algorithm that performs real-time beam selection.

关键词： signal processing signal to noise ratio Statistical analysis Algorithm development Beam analyzers Electroluminescence Cobalt Electronics Fourier transforms Phased arrays

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Phase-space approach to wave propagation with dispersion and damping

Phase-space approach to wave propagation with dispersion and...

引用

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

作者： Loughlin, P Cohen, L Univ Pittsburgh Pittsburgh PA 15261 USA

ISBN: (纸本)0819454974

We consider dispersive propagation with damping in phase-space, and derive the Wigner distribution in terms of the initial wave and the dispersion relation. The case for no damping. that is. lossless propagation, has been previously considered by Cohen, and is a special case of the more general result presented here. Simple and physically revealing approximations of the Wigner distribution in terms of the initial Wigner distribution are presented. Also. exact low-order conditional moments are given and their interpretation is discussed.

关键词： Wave propagation Dispersion Fourier transforms Time-frequency analysis Astatine signal attenuation Spatial frequencies Partial differential equations signal processing Waveguides

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RELATIONSHIPS BETWEEN THE FOURIER-TRANSFORM AND THE WAVELET TRANSFORM

RELATIONSHIPS BETWEEN THE FOURIER-TRANSFORM AND THE WAVELET ...

引用

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

作者： RESNIKOFF, HL BURRUS, CS Aware Inc. (United States) Aware Inc. and Rice Univ. (United States)

ISBN: (纸本)0819404098

This paper derives the relationship between the coefficients of the Fourier expansion of a periodic signal and the coefficients of the wavelet expansion of the same signal. The formula derived shows how the Fourier concept of frequency and the wavelet concept of scale are related and how the wavelet coefficients display the information contained in the signal in a new way. The relationship also shows how the wavelet expansion can be used to approximately calculate the Fourier coefficients.

关键词： Wavelets Fourier transforms Wavelet transforms Computing systems Digital signal processing Mathematical modeling signal processing Systems modeling Feature extraction Mathematics

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signal EXTRAPOLATION IN NOISY DATA WITH WAVELET REPRESENTATION 4

SIGNAL EXTRAPOLATION IN NOISY DATA WITH WAVELET REPRESENTATI...

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

作者： LIN, LC KUO, CCJ Univ. of Southern California (United States)

ISBN: (纸本)0819412767

A new approach for signal extrapolation based on wavelet representation known as scale-time limited extrapolation and a denoising process is investigated in this research. We first examine a new signal modeling technique using wavelets and the corresponding scale-time limited signal extrapolation algorithm. Then, the sensitivity of the algorithm to noise is discussed, and a denoising algorithm based on the time-localization property of the wavelet transform is proposed. By integrating the denoising process and the iterative scale-time limited extrapolation algorithm, we obtain a very robust signal extrapolation algorithm for noisy data. A simulation result of signal extrapolation from noisy observed data is presented to illustrate the performance of the proposed robust signal extrapolation algorithm.

关键词： Wavelets Denoising Interference (communication) signal processing signal to noise ratio Algorithm development Evolutionary algorithms Image processing Reconstruction algorithms Wavelet transforms

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