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

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

Proceedings of SPIE - Advanced signal processing: Algorithms...

引用

advanced signal processing: algorithms, architectures and implementations vii

The proceeding contains 53 papers from the conference of SPIE advanced viiI signal processing: algorithms, architectures, and implementations. The topics:include pattern recognition under translation and scale changes, instanteous frequency of a propagating pulse;data-driven time-frequency and time-scale detectors;time-varying frequencies of a signal;circulant preconditioners from B-splines;extensions to total variation denoising and Jacobi method for signal subspace computation.

关键词： signal processing

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Erratum: advanced signal processing - algorithms, architectures, and implementations vii (28-30 July 1997)

Proceedings of SPIE - The International Society for Optical ...

引用

Proceedings of SPIE - The International Society for Optical Engineering 1997年 3162卷 581-581页

作者： Luk, Franklin T.

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Time-frequency characterization of acoustic transients

Time-frequency characterization of acoustic transients

引用

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

作者： Rohrbaugh, R Naval Surface Warfare Ctr. (United States)

ISBN: (纸本)0819425842

Impulsive transient signals have been difficult to characterize and classify using traditional signal processing methods. We show that time-frequency distributions can effectively characterize the transient response of an acoustical cavity. Class-dependent kernels developed from time-frequency distributions are used to successfully classify the impulsive transients.

关键词： Time-frequency analysis signal processing Acoustics Aluminum Glasses Fourier transforms Frequency modulation Interfaces Phase shift keying Wave propagation

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Reconfigurable hardware based digital signal processing for wireless communications

Reconfigurable hardware based digital signal processing for ...

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

作者： Page, KJ Arrigo, JF Chau, PM Univ. of California/San Diego (United States)

ISBN: (纸本)0819425842

This paper presents, Index Mapping, a technique to efficiently map a widely used class of digital signal processing algorithms onto a space/time paradigm with immediate representation as the partitioning and scheduling map of a small, I/O efficient, hardware array. When applied to reconfigurable FPGA based hardware architectures with downstream Sea-of-Gates optimization methods, the resulting systems form a dynamic signal processing environment with the best mix of performance and flexibility for wireless applications. Herein, Index Mapping is demonstrated with a mapping of the Fast Fourier Transform (FFT) onto an FPGA computing machine, the ReConfigurable Processor (RCP).

关键词： shuffle linear permutation FFT index map folding

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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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Time-frequency representations of astronomical signals

Time-frequency representations of astronomical signals

引用

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

作者： Rao, AW Cohen, L Scargle, JD CUNY/Hunter College (United States) NASA Ames Research Ctr. (United States)

ISBN: (纸本)0819425842

We discuss applications of time-frequency analysis to the investigation of astronomical type signals. In particular, we apply time-frequency techniques to a data set consisting of the kinetic energy in the three body problem We explain how the methods of time-frequency analysis shed light on these signals and also how the concept of multicomponent signals is applied to their decomposition. We also discuss methods to do simple filtering and estimation of the signal parameters.

关键词： Time-frequency analysis Astronomy signal analyzers Electronic filtering Optical filters Bandpass filters Fourier transforms Iterated function systems signal processing Strontium

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Random array processing for micromachined sensor network

Random array processing for micromachined sensor network

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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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Adaptive radar CFAR using signal based suppression

Adaptive radar CFAR using signal based suppression

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

作者： Brovko, TTN Whang, YE Hughes Aircraft Co. (United States)

ISBN: (纸本)0819425842

The primary basis for adaptive radar algorithm design is that (1) a Binary Hypothesis formulation with unknown parameters is an adequate test and (2) that radar interference is composed of combinations of thermal noise, self induced clutter, and extraneous noise. This is the typical generalized likelihood formulation that yield the CFAR characteristic for the assumed conditions. implementations have shown that such formulations yield inadequate performance in complex clutter environments. As compensation measure, a secondary CFAR process then addresses the potential violation of this assumption by large ''target-like'' interference such as large Clutter discretes or a large number of targets interfering with each other. In order to detect small targets, an approach based on the Likelihood Statistic provides a technique for optimally suppressing the neighboring large signals. Performance is characterized as a function of a generalized distance and relative signal power ratios in the Joint Space-Time domain.

关键词： Target detection signal detection Doppler effect Distortion Radar Modulation Electronic filtering signal processing Interference (communication) signal to noise ratio

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Progressive image decoding based on the inverse discrete cosine transform

Progressive image decoding based on the inverse discrete cos...

引用

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

作者： Winograd, JM Nawab, SH Boston Univ. (United States)

ISBN: (纸本)0819425842

A new architecture is presented for incremental computation of the two-dimensional inverse discrete cosine transform (2D-IDCT) in the context of progressive image decoding. This architecture offers advantages over existing DCT inversion techniques for systems used in conjunction with progressive image coding schemes or those that must operate in environments with severe and/or time-varying resource constraints (e.g. real-time and low-power systems). The use of a bit-serial distributed arithmetic approach comprised of parallel input-pruned 2D-IDCT processing elements enables low-quality image reconstructions to be quickly and efficiently obtained using only a subset of the DCT coefficient bit stream. Initial approximate reconstructions can be improved in subsequent stages of incremental refinement according to the availability of processing resources or DCT coefficient data. Analysis is presented of image degradation at successive stages, illustrating uniform improvement according to quantitative and perceptual criteria.

关键词： progressive image decoding discrete cosine transform incremental refinement approximate processing

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VHDL token-based performance modeling for 2D and 3D infrared search and track processing

VHDL token-based performance modeling for 2D and 3D infrared...

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

作者： Pauer, EK Pettigrew, MN Myers, CS Madisetti, VK Signal Proc Ctr Nashua NH 03061 USA

ISBN: (纸本)0819429163

This study develops and evaluates a new VHDL-based performance modeling capability for multiprocessor systems.* The framework for this methodology involved modeling the following system aspects: processor characterization, task modeling, network characterization, and data set size. Initially, all aspects are specified at an abstract) level, and eventually become specified at a detailed level through the process of verification and refinement of design assumptions. Processor characterization involves modeling the processor's speed, instruction set, and memory hierarchy. Task modeling is concerned with the execution time and instruction mix of software tasks within the system. Network characterization models bus protocols, topology, and bandwidths. Data set size refers to how much data is represented by the tokens used in the models. In this study, we applied and evaluated this methodology using both two-dimensional (2D) and three-dimensional (3D) infrared search and track (IRST) algorithms. Two different candidate processors were investigated: IBM PowerPC 604 and Texas Instruments TMS320C80. For the 2D IRST algorithm, the abstract and detailed performance modeling results were obtained far both processors using partitioned data and pipelined algorithmic approaches. For the 3D IRST algorithm, abstract performance models for pipelined and parallelized implementations on the PowerPC were developed. These models examined the feasibility of the implementations, the potential risk areas, and laid the groundwork for detailed performance modeling.

关键词： performance modeling VHDL IRST architectures simulation

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