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检索条件"任意字段=Advanced Signal Processing Algorithms, Architectures, and Implementations II"
465 条 记 录,以下是151-160 订阅
排序:
Parallel implementation of a face location algorithm on DSP's with SynDEx environment
Parallel implementation of a face location algorithm on DSP'...
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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
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. ... 详细信息
来源: 评论
Characterization of near-field scattering using a multiple weighted summed beamformer
Characterization of near-field scattering using a multiple w...
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Conference on advanced signal processing algorithms, architectures and implementations Xii
作者: Frazer, GJ Amin, MG Defence Science and Technology Organisation (Australia) Villanova Univ. (United States)
The Sensor-Angle Distribution (SAD) is a recently introduced tool representing the power arriving at each sensor as a function of angle (or spatial frequency). It can be used to characterize near-field scatter environ... 详细信息
来源: 评论
TOMOGRAPHIC IMAGING OF THE IONOSPHERE USING BIDIRECTIONAL EXTRAPOLATION ALGORITHM  4
TOMOGRAPHIC IMAGING OF THE IONOSPHERE USING BIDIRECTIONAL EX...
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4TH CONF ON advanced signal processing algorithms, architectures, AND implementations
作者: NA, HR LEE, H SHEN, J Univ. of Iowa (United States) Univ. of California/Santa Barbara (United States)
In this paper, a new Fourier domain reconstruction algorithm is presented which utilizes the information contained in the known region of the spectrum to estimate the frequency samples in the missing-cone area. Unlike... 详细信息
来源: 评论
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
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 rando... 详细信息
来源: 评论
Seismic-array signal processing for moving source localization
Seismic-array signal processing for moving source localizati...
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Conference on advanced signal processing algorithms, architectures, and implementations XVii
作者: Stafsudd, Jing Z. Hudson, Ralph E. Taciroglu, Ertugrul Yao, Kung UCLA Dept Elect Engn Los Angeles CA 90095 USA UCLA Dept Civil & Environm Engn Los Angeles CA 90095 USA
In this paper, we consider the use of a seismic sensor array for the localization and tracking of a wideband moving source. The proposed solution consists of two steps: source Direction-Of-Arrival (DOA) estimation and... 详细信息
来源: 评论
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
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 differenti... 详细信息
来源: 评论
NEURAL-NETWORK processing TO MINIMIZE QUANTIZATION LOSSES  4
NEURAL-NETWORK PROCESSING TO MINIMIZE QUANTIZATION LOSSES
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4TH CONF ON advanced signal processing algorithms, architectures, AND implementations
作者: WU, YJ CHAU, PM Univ. of California/San Diego (United States)
A general neural network co-processor has been investigated and designed to adaptively adjust the quantization thresholds of a data quantizer, and thus a data quantizer with minimum quantization loss can be obtained. ... 详细信息
来源: 评论
Transmit diversity for TDD systems
Transmit diversity for TDD systems
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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
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... 详细信息
来源: 评论
Simultaneous operation of two over-the-horizon radars
Simultaneous operation of two over-the-horizon radars
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Conference on advanced signal processing algorithms, architectures, and implementations XIV
作者: Zhang, YM Frazer, GJ Amin, MG Villanova Univ Ctr Adv Commun Villanova PA 19085 USA Def Sci & Technol Org Intelligence Surveillance & Reconnaissance Div Edinburgh SA 5111 Australia
Over the horizon radar (OTHR) is a well developed sensor technology in established use for long-range air and surface surveillance. More detailed information about the targets can be achieved by using simultaneous ope... 详细信息
来源: 评论
Wavelet-domain hidden Markov models for signal detection and classification
Wavelet-domain hidden Markov models for signal detection and...
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Conference on advanced signal processing - algorithms, architectures, and implementations Vii
作者: Crouse, MS Nowak, RD Mhirsi, K Baraniuk, RG Rice Univ. (United States) Michigan State Univ. (United States)
This paper addresses the problem of detection and classification of complicated signals in noise. Classical detection methods such as energy detectors and linear discriminant analysis do not perform well in many situa... 详细信息
来源: 评论