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

共 168 条记录，以下是71-80 订阅

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Time-frequency decomposition based on information

Time-frequency decomposition based on information

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

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

ISBN: (纸本)0819463922

In array processing applications, it is desirable to extract the sources that generate the observed signals. There are various source separation and component extraction algorithms in literature including principal component analysis (PCA) and independent component analysis (ICA). However, most of these methods are not designed to deal with time-varying signals and thus are formulated in the time domain. In this paper, we introduce a new time-frequency based decomposition method using an information measure as the decomposition criteria. It is shown that under the assumption of disjoint source signals on the time-frequency plane, this method can extract the sources up to a scalar factor. Based on the QR decomposition of the mixing matrix, the source extraction algorithm is reduced to finding the optimal N-dimensional rotation of the observed time-frequency distributions. The proposed algorithm is implemented using the steepest descent approach to find the optimal rotation angle. The performance of the method is illustrated for example signals and compared to some well-known decomposition techniques.

关键词： Time-frequency analysis Independent component analysis Transform theory Principal component analysis Associative arrays Image information entropy Matrices signal processing Sensors Array processing

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Construction of signal-dependent Cohen's-class time-frequency distributions using iterative blind deconvolution

Construction of signal-dependent Cohen's-class time-frequenc...

引用

conference on advanced signal processing algorithms architectures and implementations XIII

作者： Yagle, AE Torres-Fernández, JE Univ Michigan Dept EECS Ann Arbor MI 48109 USA

ISBN: (纸本)0819450782

The problem of kernel design for Cohen time-frequency distributions is formulated as a blind deconvolution problem. It is shown that the iterative blind deconvolution method (IBDM) used in image restoration problems can be successfully applied to solve the kernel design problem. We obtain the following results: (1) the rate of convergence depends on which domains the constraints are imposed (2) certain constraints are needed for algorithm convergence (3) the more constrained the kernel design is, the faster the rate of convergence (4) there are tradeoffs between constraints, e.g., compact support vs. satisfaction of marginals;(5) time-frequency distributions which are more amenable to visual interpretation can be obtained using this algorithm.

关键词： time-frequency distributions blind deconvolution

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The marginals and time-frequency distributions

The marginals and time-frequency distributions

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conference on advanced signal processing algorithms architectures and implementations XIII

作者： Cohen, L Loughlin, P CUNY New York NY 10021 USA

ISBN: (纸本)0819450782

We address the question of the importance of satisfying the marginal conditions in a time-frequency distribution and discuss in detail the fundamental and practical issues involved. We also examine the marginals of the spectrogram. The spectrogram often gives reasonable results even though both marginals can never be satisfied exactly, but sometimes it can give very unreasonable results. We show by examples that the spectrogram gives the clearest characterization of the time-frequency properties of a signal when the combined error in both of its marginals is as small as possible. In contrast, when the error in either one of the marginals of the spectrogram is large, the time-frequency characterization degrades. Some different error measures are described. We discuss the issues involved both theoretically and by way of numerical simulations. We also address the issue of marginals for the random case.

关键词： Time-frequency analysis Surface plasmons Fourier transforms signal processing Fermium Frequency modulation Numerical simulations Differential equations Physics Visualization

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Applications of non-uniform multi-gabor expansions to time-frequency analysis

Applications of non-uniform multi-gabor expansions to time-f...

引用

conference on advanced signal processing algorithms architectures and implementations XIII

作者： Hoffman, M Li, SD San Francisco State Univ Dept Math San Francisco CA USA

ISBN: (纸本)0819450782

We present a non-uniform multi-Gabor expansion (MGE) algorithm in which multiple windows and their corresponding translations and modulations are used for signal analysis. Analysis windows of varying supports, each corresponding to a chosen. scale of detail, decompose a signal using different translation and modulation parameters for each scale. Structural analysis of dual synthesis waveforms is provided. We show that synthesis waveforms can still be formed from translations and modulations of a set of basic dual windows at each scale. The use of different translation and modulation parameters at each scale allows for a more refined and concise time-frequency representation of the signal, while retaining the versatility of uniform MGEs in representing signal dynamics at many different scales. Examples of implementation and practical application will be presented.

关键词： Modulation Magnesium Matrices Time-frequency analysis Thulium Mathematics signal analysis Structural analysis Astronomy Physics

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Interleaver design for high speed turbo decoders

Interleaver design for high speed turbo decoders

引用

conference on advanced signal processing algorithms architectures and implementations XIII

作者： Abbasfar, A Yao, K Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA

ISBN: (纸本)0819450782

Recently some efficient parallel architectures for turbo decoder have been proposed. In these architectures the bottleneck for the parallelization of the decoder is the interleaver. On the other hand, turbo codes achieve a very impressive near Shannon-capacity performance in which the interleaver plays a crucial role. Therefore, it is of great interest to design interleavers that are good from both performance and parallelization point of views. In this paper we have proposed an interleaver structure that is suitable for parallelization of turbo decoders. It is shown that such an interleaver can be designed to have good BER performance as well. By this structure not only fast decoders with very low latency can be built, but also the regularity of the decoder and the simplicity of the interleaver structure make them promising for VLSI implementation. We also present a fast algorithm to design such an interleaver, which can be used to design S-random interleavers as well. Such interleavers have been designed and the performances are compared to that of S-random interleavers by simulations.

关键词： Turbo Code interleaver design parallel processing high speed Turbo decoder

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Two-dimensional signal gating for low power in high-performance multipliers

Two-dimensional signal gating for low power in high-performa...

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conference on advanced signal processing algorithms architectures and implementations XIII

作者： Huang, ZJ Ercegovac, MD Univ Calif Los Angeles Dept Comp Sci Los Angeles CA 90095 USA

ISBN: (纸本)0819450782

We propose two-dimensional signal gating for high-performance multipliers including tree multipliers and array multipliers with an upper/lower left-to-right leapfrog (ULLRLF) structure. In ULLRLF array multipliers, the G-Y gating line follows the boundary of existing upper/lower partitioning. The G-X gating line goes through the upper and lower LRLF arrays. In tree multipliers, the G-Y gating line follows the existing partitioning of tree branches. The G-X line goes through all carry-save adders for partial product reduction. Because of the irregularity of the tree reduction structure, signal gating in tree multipliers is more complex than that in array multipliers. Experimental results indicate that two-dimensional gating is quite efficient in high-performance multipliers, with 65% power reduction under test data with large dynamic range.

关键词： signal gating low-power design high-performance multiplier

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A flexible arithmetic and logic unit for multimedia processing

A flexible arithmetic and logic unit for multimedia processi...

引用

conference on advanced signal processing algorithms architectures and implementations XIII

作者： Senthilvelan, M Schulte, MJ Univ Wisconsin Dept Elect & Comp Engn Madison WI 53706 USA

ISBN: (纸本)0819450782

Novel arithmetic units are needed to achieve the cost, performance, power, and functionality requirements of emerging multimedia systems. This paper presents the design and implementation of a 64-bit arithmetic and logic unit (ALU) for multimedia processing. The 64-bit ALU supports subword-parallel processing by allowing one 64-bit, two 32-bit, four 16-bit, or eight 8-bit operations to be performed in parallel. In addition to conventional ALU operations, the ALU also supports several operations for enhanced multimedia processing including parallel compare, parallel average, parallel minimum, parallel maximum, and parallel shift and add. To efficiently implement a variety of multimedia applications, the ALU supports saturating and wrap-around arithmetic operations on unsigned and two's complement operands. This paper compares the area and delay of the 64-bit multimedia ALU to those of a more conventional 64-bit ALU.

关键词： ALU adder saturating multimedia computer arithmetic DSP

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Invertible time-frequency representations

Invertible time-frequency representations

引用

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

作者： Nelson, DJ Kenny, OP US Dept Def Ft George G Meade MD 20755 USA

ISBN: (纸本)0819429163

In this paper, we present a new class of representations of signals in the time-frequency (TF) plane. These representations are complex valued, linear, and satisfy reconstruction conditions in which the signal and its complex spectrum may be uniquely reconstructed from their TF representation. These surfaces are generalizations of one-dimensional linear transforms with which they share many properties.. The primary advantage of these representations is that the phase of the surface may be used to recover signal information which is not contained in real TF surfaces. Linearity guarantees that cross-terms normally associated with TF distributions do not exist in these representations. Several examples of invertible surfaces are presented, and it is demonstrated that these surfaces agree with normal intuition. Finally, a method, based on the phase gradient, is proposed as a method of modifying Fourier surfaces to produce representations which are more focused or more concentrated in time and frequency.

关键词： Time-Frequency signal reconstruction Fourier transform spectral phase instantaneous frequency group delay phase gradient

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Parallel implementation of a face location algorithm on DSP's with SynDEx environment

Parallel implementation of a face location algorithm on DSP'...

引用

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

作者： Yang, F Paindavoine, M Abdi, H Univ Burgundy Lab Le2i Fac Sci Mirande F-21011 Dijon France

ISBN: (纸本)0819432938

The aim of our work is to implement a system of automatic face image processing on DSP's : face detection in an image, face recognition and face identification. The first step is to localize the face in an image. Our approach consists to approximate the face oval shape with an ellipse and to compute coordinates of the center of the ellipse. For this purpose, we explore a new version of the Hough transformation : the Fuzzy Generalized Hough transformation. To reduce the computation time, we present also several parallel implementations of the algorithm on a multi-DSP architecture using SynDEx tool which is a programming environment to generate optimized distributed real-time executives. We show that an acceleration of factor 1.7 has been obtained.

关键词： automatic face image processing face location edge detection Hough transformation efficient mapping algorithm and architecture A(3) methodology SynDEx

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Space-time beamforming for randomly distributed sensors

Space-time beamforming for randomly distributed sensors

引用

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

作者： Yao, K Hudson, RE Reed, CW Chen, D Tung, TL Lorenzelli, F Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

ISBN: (纸本)0819429163

We briefly review the signal processing architecture of a wireless MEM sensor system for source detection, signal enhancement, localization, and identification. A blind beamformer using only the measured data of randomly distributed sensors to form a sample correlation matrix is proposed. The maximum power collection criterion is used to obtain array weights from the dominant eigenvector of the sample correlation matrix. An effective blind beamforming estimation of the time delays of the dominant source is demonstrated. Source localization based on a novel least-squares method for time delay estimation is also given. Array system performance based on analysis, simulation, and measured acoustical/seismic sensor data is presented. Applications of such a system to multimedia, intrusion detection, and surveillance are briefly discussed.

关键词： random array array processing beamforming space-time filtering MEM sensor sensor network

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