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

共 462 条记录，以下是221-230 订阅

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Generalization of the autocorrelation function

Generalization of the autocorrelation function

引用

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

作者： Cohen, L CUNY Hunter Coll New York NY 10021 USA

ISBN: (纸本)0819429163

We generalize the concept of the autocorrelation function to arbitrary physical variables and show how it can be used to define a local autocorrelation function. Using the local autocorrelation function we develop a new method to generate densities for arbitrary physical quantities. In addition, we show that the generalized autocorrelation function can be used to characterize functions with respect to a physical property.

关键词： Time-frequency analysis Fourier transforms Astatine signal processing

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The process phantom - a tool for searching for chirps

The process phantom - a tool for searching for chirps

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

作者： Hershey, JE Gen Elect Corp Res & Dev Ctr Niskayuna NY 12309 USA

ISBN: (纸本)0819429163

Searching for wideband short duration chirps is an important issue in spectrum surveillance. We propose a method and apparatus, inspired by optical tomography, by which a one-dimensional signal is converted to a two-dimensional image. This image has the remarkable property that it may disclose discernible structure. A chirp in additive white Gaussian noise, even undersampled, may be detected. The process is inherently linear and may be easily implemented by parallel processing or through the construction of an optoelectronic device.

关键词： signal recognition spectrum surveillance phantom back projection chirps display

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A low power, high performance approach for time-frequency/time-scale computations

A low power, high performance approach for time-frequency/ti...

引用

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

作者： Suter, BW Stevens, KS USAF Res Lab IFGC Griffiss AFB NY 13441 USA

ISBN: (纸本)0819429163

This paper presents an application of formal mathematics to create a high performance, low power architecture for time-frequency and time-scale computations implemented in asynchronous circuit technology that achieves significant power reductions and performance enhancements over more traditional approaches. Utilizing a combination of concepts from multirate signal processing and asynchronous circuit design, a case study is presented dealing with a new architecture for the fast Fourier transform, an algorithm that requires globally shared results. Then, the generalized distributive law is presented as an important paradigm for advanced asynchronous hardware design.

关键词： time-frequency computations time-scale computations asynchronous circuit design multirate signal processing generalized distributive law fast Fourier transform

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Evolutionary spectrum estimation by deconvolving bilinear time-frequency distributions

Evolutionary spectrum estimation by deconvolving bilinear ti...

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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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Feature preserving lossy image compression using nonlinear PDE's

Feature preserving lossy image compression using nonlinear P...

引用

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

作者： Chan, TF Zhou, HM Univ Calif Los Angeles Dept Math Los Angeles CA 90095 USA

ISBN: (纸本)0819429163

In this report, we propose combining the Total Variation denoising method with the high loss wavelet compression for high noise level images. Numerical experiments show that TV-denoising can bring more wavelet coefficients closer to zero thereby making the compression more efficient while the salient features (edges) of the images can still be retained.

关键词： Image compression Wavelets Denoising Tolerancing Wavelet transforms Image processing Image quality Palladium Automatic target recognition Image storage

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

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

引用

Advance signal processing algorithms, Atchitectures, and implementations VIII

The proceedings contains 58 papers from the conference of SPIE: advanced signal processing algorithms, architectures, and implementations VIII. The topics discussed include: blind channel identification and extraction of more sources than sensors;blind channel estimation for CDMA systems with orthogonal modulation;blind equalization and source separation with MSK inputs and adaptive blind channel estimation by least-squares smoothing for CDMA.

关键词： signal processing

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Space-time beamforming for randomly distributed sensors

Space-time beamforming for randomly distributed sensors

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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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Invertible time-frequency representations

Invertible time-frequency representations

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

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

引用

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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Approximation by structured lower rank matrices

Approximation by structured lower rank matrices

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

作者： Chu, MT Funderlic, RE Plemmons, RJ N Carolina State Univ Dept Math Raleigh NC 27695 USA

ISBN: (纸本)0819429163

We consider two general procedures for constructing the nearest approximation of a given matrix by one with any lower rank and any linear structure. Nearness can be measured in any matrix norm. Structured low rank matrices arise in various applications, including image enhancement and model reduction. In practice, the empirical data collected in the matrix often either do not maintain the specified structure or do not induce the desirable rank. It is an important task to search for the nearest structured lower rank approximation of a given matrix. The techniques developed in this paper can easily be implemented for numerical computation. In particular, it is shown that the computations can be approached using efficient optimization packages. The special case of Toeplitz structure using the Frobenius matrix norm is discussed in detail to illustrate the ideas, and numerical tests are reported. The procedures developed herein can be generalized to consider a much broader range of approximation problems.

关键词： Matrices signal processing MATLAB Optimization (mathematics) Image enhancement Computer programming Computer science Fourier transforms Image processing Mathematics

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