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

Proceedings of SPIE: Advanced Signal Processing Algorithms, ...

引用

advanced signal processing algorithms, architectures, and implementations

This Volume 5205 of the conference proceedings contains 59 papers. Topics discussed include time frequency and time scale analysis, adaptive sensor network, wireless communication, image processing, exploitation of structured in imaging and signal processing, matrix algorithms, signal processing applications, computer arithmetic and arithmetic and architectures for real time applications.

关键词： Optical engineering

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advanced signal processing algorithms, architectures, and implementations xiii

Advanced Signal Processing Algorithms, Architectures, and Im...

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2003年

作者： Franklin T Luk

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Web-based distributed processing tools for crop classification using CGDI databases

Web-based distributed processing tools for crop classificati...

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conference on advanced signal processing algorithms architectures and implementations xiii

作者： Lampropoulos, G Chan, J Bardas, A McNairn, H Low, B AUG Signals Ltd Toronto ON M4V 1K7 Canada

ISBN: (纸本)0819450782

This paper is devoted to change detection for precision agriculture. It presents a new change detection methodology and an overview of an online image processing tool (***) with direct applicability for crop classification. The change detection algorithms discussed in the paper will be implemented on the web. They preserve the fine details of the pixel changes and furthermore may be used for crop classification. Image registration, calibration/normalization, pixel level transformations, clutter suppression and pixel level change detection are discussed and new technologies are presented. The effectiveness of the proposed technology is being tested on real SAR data with partial truthing.

关键词： crop classification change detection distributed processing

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Approach to regularization preconditioners for image processing

Approach to regularization preconditioners for image process...

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conference on advanced signal processing algorithms architectures and implementations xiii

作者： Estatico, C Univ Genoa Dipartmento Matemat I-16146 Genoa Italy

ISBN: (纸本)0819450782

Preconditioning techniques for linear systems are widely used in order to speed up the convergence of iterative methods. Unfortunately, linear systems arising in image processing are highly ill-conditioned and preconditioners often give bad results, since the noise components on the data are strongly amplified already at the early iterations. In this work, we propose filtering strategies which allow to obtain preconditioners with regularization features for Toeplitz systems of image deblurring. Regularization preconditioners are able to speed up the convergence in the space less sensitive to the noise and, simultaneously, they slow down the restoration from components mainly corrupted by noise. A 2-d numerical simulation concerning astronomical image deblurring confirms the effectiveness of the arguments.

关键词： preconditioning ill-conditioning regularization approximation operators Toeplitz matrices

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Space-time adaptive processing and subband array implementations

Space-time adaptive processing and subband array implementat...

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conference on advanced signal processing algorithms architectures and implementations xiii

作者： Zhang, YM Yang, KH Amin, MG Villanova Univ Ctr Adv Commun Villanova PA 19085 USA

ISBN: (纸本)0819450782

Inter-symbol interference (ISI) and co-channel interference (CCI) are two major sources to signal impairment in mobile communications. To suppress both ISI and CCI, space-time adaptive processing (STAP) systems are shown to be effective, leading to increased capacity and improved quality of service. The high complexity and slow convergence, however, are often the hurdles in practical implementation of the STAP systems. Several subband array implementations have been proposed for STAP over the past a few years. These methods are to provide optimal or sub-optimal steady state performance with reduced implementation complexity and improved convergence performance. The purpose of this paper is to investigate the steady state performance of subband arrays with different decimation rates and to derive analytical expressions of the minimum mean square error (MMSE). The discrete Fourier transform (DFT) based subband arrays and both unconstrained and constrained weight adaptations are considered.

关键词： space-time adaptive processing subband array filter banks array processing mobile communication inter-symbol interference co-channel interference

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Information theoretic signal detection on the time-frequency plane

Information theoretic signal detection on the time-frequency...

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conference on advanced signal processing algorithms architectures and implementations xiii

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

ISBN: (纸本)0819450782

A comprehensive theory for time-frequency based signal detection has been developed during the past decade. The time-frequency detectors proposed in literature are linear structures operating on the time-frequency representation of the signals and are equivalent to quadratic receivers that are defined in the,time domain. In this paper, an information theoretic approach for signal detection on the time-frequency plane is introduced. In recent years, Renyi entropy has been proposed as an effective measure for quantifying signal complexity on the time-frequency plane and some important properties of this measure have been proven. In this paper, a new approach that uses the entropy functional as the test statistic for signal detection is developed. The minimum error detection algorithm is derived and the performance of this new signal detection method is demonstrated through examples.

关键词： signal detection Time-frequency analysis Detection and tracking algorithms Interference (communication) Sensors Radar Algorithm development Backscatter signal to noise ratio Receivers

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A BER analysis of a space-time signal processing scheme that combines transmitter diversity with beamforming

A BER analysis of a space-time signal processing scheme that...

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conference on advanced signal processing algorithms architectures and implementations xiii

作者： Kim, I Chun, J Korea Adv Inst Sci & Technol Comp Sci Lab Dept EECS Taejon 305701 South Korea

ISBN: (纸本)0819450782

We introduce a new space-time signal processing scheme that uses both transmitter diversity technique and beamforming technique for code-division multiple access (CDMA) systems. The introduced scheme achieves the diversity gain over Rayleigh fading channel through the transmitter diversity technique, and the signal-to-noise ratio (SNR) gain by the beamforming technique. Bit error rate (BER) analyses are given each of the three cases in which the transmitter diversity, beamforming and introduced combined scheme are used, in the frequency-flat Rayleigh fading channel. The analytic results are shown to coincide with the Monte-Carlo simulation results. We show that the combined scheme is more robust to the channel correlation and the speed of mobile than the diversity and beamforming scheme. Furthermore, the combined scheme gives a reduced multiple-access-interference because of its beamforming capability.

关键词： diversity beamforming space-time spreading CDMA

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signal arrival times

Signal arrival times

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conference on advanced signal processing algorithms architectures and implementations xiii

作者： Hughes, DH USAF Res Lab Ctr Integrated Transmiss & Exploitat Rome NY 13441 USA

ISBN: (纸本)0819450782

A femtosecond electromagnetic pulse propagating in a linear dispersive medium is analyzed in phase spaces of (space, wave number) and (time, frequency). First moment densities are computed as eigenvalues of differential operators acting on Hilbert ray representations of the pulse in relevant domains. These moment densities are used as metrics in the relevant phase spaces to measure the local mean values and their deviations in position and wavenumber, and in time and frequency. For example, arrival times of the pulse over its spectral content are computed as the mean arrival time at a particular frequency to within one half the local deviation at that frequency. These metrics on the pulse are compared to the relevant phase space Wigner distribution.

关键词： space-time signal analysis local moments Wigner distribution time-frequency dispersion wave propagation FDTD moment densities instantaneous frequency

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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...

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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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