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

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advanced signal processing algorithms, architectures, and implementations II

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

引用

advanced signal processing algorithms, architectures, and implementations II

The Volume contains 44 conference papers. The topic covered include Toeplitz matrices, time-frequency distribution and nonstationary signals, bit-level systolic arrays and computer arithmetic, radar signal processing,... 详细信息

ISBN: (纸本)0819406945

关键词： signal processing

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Analytical approximations of translational subpixel shifts in signal and image registrations

Analytical approximations of translational subpixel shifts i...

引用

conference on advanced signal processing algorithms, architectures, and Implementantions XviII

作者： Zhang, Qiang Wake Forest Univ Hlth Sci Biostat Sci Dept Winston Salem NC 27157 USA

ISBN: (纸本)9780819472946

Analytical approximations of translational subpixel shifts in both signal and image registrations are derived by setting the derivatives of a normalized cross correlation function to zero and solving them. Without the need of iterative searching, this methods achieves a complexity of only O(mn), given an image size of m x n. Without the need to upsample, computation memory is also saved. Tests using simulated signals and images show good results.

关键词： Subpixel image registration image superresolution

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signal arrival times

Signal arrival times

引用

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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Design and evaluation of on-line arithmetic for signal processing applications on FPGAs

Design and evaluation of on-line arithmetic for signal proce...

引用

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

作者： Galli, R Tenca, AF Oregon State Univ Dept Elect & Comp Engn Corvallis OR 97331 USA

ISBN: (纸本)0819441880

This paper shows the design and the evaluation of on-line arithmetic modules for the most common operators used in DSP applications, using FPGAs as the target technology. The designs are highly optimized for the target technology and the common range of precision in DSP. The results are based on experimental data collected using CAD tools. All designs are synthesized for the same type of devices (Xilinx XC4000) for comparison, avoiding rough estimates of the system performance, and generating a more reliable and detailed comparison of on-line signal processing solutions with other 'state of the art' approaches, such as distributed arithmetic. We show that on-line designs have a hard stand for basic DSP applications that use only addition and multiplication. However, we also show that on-line designs are able to overtake other approaches as the applications become more sophisticated, e.g. when data dependencies exist, or when non constant multiplicands restrict the use of other approaches.

关键词： on-line arithmetic signal processing DSP FPGA Xilinx XC4000

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Architecture for real time wood inspection

Architecture for real time wood inspection

引用

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

作者： Malasne, N Paindavoine, M Lab Elect & Informat Image F-21078 Dijon France

This study has been realized to improve industrial machines that allow to analyze planks by detecting their width and too important defects thanks to a computer vision system. These machines are currently piloted by s... 详细信息

ISBN: (纸本)0819437611

关键词： real time processing defects detection FPGA

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Transmit diversity for TDD systems

Transmit diversity for TDD systems

引用

conference on advanced signal processing algorithms, architectures and implementations XII

作者： Wang, JB Yao, K Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

ISBN: (纸本)0819445584

Multiple input multiple output (MIMO) communications have been a hot research area in recent years. Most literature makes the assumption that the channel information is not known at the transmitter but known perfectly at the receiver. We focus on the situation where both the transmitter and the receiver know the channel information. We consider a transmit diversity scheme that maximizes the signal to noise ratio at the receiver. We analyze its performance in terms of capacity, duality and asymptotic behavior. By simulation, we compare this scheme with Alamouti's transmit diversity to show the advantage of utilizing the channel side information to improve the performance of the wireless systems.

关键词： signal to noise ratio Receivers signal processing Lithium Lutetium Transmitters Antennas

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Optical infrared flame detection system with neural networks

Optical infrared flame detection system with neural networks

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

作者： Huseynov, Javid J. Baliga, Shankar B. Univ Calif Irvine Sch Informat & Comp Sci Irvine CA 92697 USA Gen Monitors Inc Lake Forest CA 92630 USA

ISBN: (纸本)9780819468451

A model for an infrared (M) flame detection system using artificial neural networks (ANN) is presented. The joint time-frequency analysis (JTFA) in the form of a Short-Time Fourier Transform (STFT) is used for extracting relevant input features for a set of ANNs. Each ANN is trained using the backpropagation conjugate-gradient (CG) method to distinguish all hydrocarbon flames from a particular type of environmental nuisance and background noise. signal saturation caused by the increased intensity of IR sources at closer distances is resolved by an adjustable gain control. A classification scheme with trained ANN connection weights was implemented on a digital signal processor for use in an industrial hydrocarbon flame detector.

关键词： artificial neural networks signal processing infrared detectors fire detection

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A sharpness metric implementation for image processing applications with feedback

A sharpness metric implementation for image processing appli...

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conference on advanced signal processing algorithms, architectures, and Implementantions XviII

作者： Lam, Eric P. Thales Rayheon Syst Battlefield Radar Fullerton CA USA

ISBN: (纸本)9780819472946

Some image processing applications require an image meet a quality metric before processing it. If an image is so degraded that it is difficult or impossible to reconstruct, the input image may be discarded. In this paper, we present a metric that measures the relative sharpness with respect to a reference image frame. The reference frame may be a previous input image or an output frame from the system. The sharpness metric is based on analyzing edges. The assumption of this problem is that input images are similar to each other in terms of observation angle and time.

关键词： image processing system closed-loop system sharpness metric edge frame

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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...

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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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