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共 433 条记录，以下是141-150 订阅

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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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A NEW ALGORITHM FOR RATIONAL SUBSPACE ESTIMATION BASED ON CASCADABLE ADAPTIVE LOSSLESS FILTERS 4

A NEW ALGORITHM FOR RATIONAL SUBSPACE ESTIMATION BASED ON CA...

引用

4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： FIJALKOW, I LOUBATON, P REGALIA, PA Telecom Paris Dept. Signal 46 rue Barrault Paris Cedex 13 75634 France Institut National des Telecommunications 9 rue Charles Fourier Evry Cedex 91011 France

ISBN: (纸本)0819412767

In a previous work, a time domain algorithm was proposed to adaptively estimate a rational and orthonormal spanning of a rational subspace. However, its convergence was not proved and it seems that asymptotic misbehaviour may occur. A new algorithm is proposed, for which satisfactory convergence properties hold. It provides robustness with regard to the signal model and shows an especially good asymptotical performance for small SNR. © 1993 SPIE. All rights reserved.

关键词： Time domain analysis

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NEW ENCODING DECODING METHODS FOR DESIGNING FAULT-TOLERANT MATRIX OPERATIONS

NEW ENCODING DECODING METHODS FOR DESIGNING FAULT-TOLERANT M...

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CONF ON advanced signal processing algorithms, architectures, AND implementations 3

作者： TAO, DL HAN, YS HARTMANN, CRP SUNY/Stony Brook (United States) Syracuse Univ. (United States)

ISBN: (纸本)081940943X

The algorithm-based fault tolerance (ABFT) provides low-cost error protection for VLSI processor arrays used in real-time digital signal processing. Several ABFT techniques (weighted check-sum) have be proposed to design fault-tolerant LU decomposition, QR decomposition, and matrix inversion. In these schemes, encoding/decoding uses either multiplication or division so that overhead is high. In this paper, we propose new encoding/decoding methods for designing fault-tolerant matrix operations. Since the new encoding/decoding methods use only additions and subtractions, the overhead of a fault-tolerant processor array can be drastically reduced.

关键词： Array processing Digital signal processing Silicon Tolerancing Chlorine Information operations Osmium signal processing Very large scale integration Electrical engineering

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Time-frequency decomposition based on information

Time-frequency decomposition based on information

引用

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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INSTANTANEOUS AMPLITUDE AND FREQUENCY ESTIMATION - PERFORMANCE BOUNDS AND APPLICATIONS TO SOURCE LOCALIZATION

INSTANTANEOUS AMPLITUDE AND FREQUENCY ESTIMATION - PERFORMAN...

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CONF ON advanced signal processing algorithms, architectures, AND implementations 2

作者： ARUN, KS LIANG, RM Univ. of Illinois/Urbana-Champaign (United States)

ISBN: (纸本)0819406945

Estimation and tracking of the instantaneous amplitudes and frequencies of superimposed, slowly varying narrowband signals is a difficult signal processing problem that shows up in many applications. Our approach to this problem is to achieve global noise averaging via SVD-based rank reduction of a matrix constructed from the entire data record. Compared to methods that use local noise averaging using many smaller matrices, the strength of the new approach is in affecting better noise reduction at a lower computational cost. Moreover, no model is needed for the variation of the amplitudes and frequencies with time. In this paper, Cramer-Rao bounds for the variance of the error in tracking the instantaneous amplitudes and frequencies (without assuming a parametric model for their variation with time) will be presented. In addition, we will also show how the algorithm can be used on sensor array data to estimate range and direction of multiple narrow-band sources.

关键词： Sensors signal processing Detection and tracking algorithms signal to noise ratio Source localization Data modeling Denoising Matrices Array processing Data analysis

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Optical infrared flame detection system with neural networks

Optical infrared flame detection system with neural networks

引用

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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Analytical approximations of translational subpixel shifts in signal and image registrations

Analytical approximations of translational subpixel shifts i...

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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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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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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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Missile signal processing common computer architecture for rapid technology upgrade

Missile signal processing common computer architecture for r...

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Conference on advanced signal processing algorithms, architectures, and implementations XIV

作者： Rabinkin, D Rutledge, E Monticciolo, P MIT Lincoln Lab Lexington MA 02420 USA

ISBN: (纸本)0819454974

Interceptor missiles process IR images captured by a focal plane array for locating and guiding the interceptor toward an intended target. A typical interceptor signal processing chain comprises two parts. Front-end video processing operates on all pixels of the image and performs such operations as non-uniformity correction (NUC), image stabilization, frame integration and detection. Back-end target processing, which tracks and classifies targets detected in the image, performs such algorithms as Kalman tracking, spectral feature extraction and target discrimination. signal processing requirements increased as sensor bandwidth increases and interceptors operate against more sophisticated targets. In the past, video processing was implemented using ASICs or FPGAs because computation requirements exceeded the throughput of general-purpose processors. Target processing was performed using hybrid architectures that included ASICs. DSPs and general-purpose processors. The resulting systems tended to be very function-specific, and required custom software development. These systems were developed using non-integrated toolsets, and test equipment had to be developed along with the processor platform. The lifespan of the interceptor platform on which the signal processors operate often spans decades, while the specialized nature of processsor hardware and software makes it difficult and costly to upgrade. As a result., the signal processing systems often run on outdated components, signal processing algorithms are difficult to update. and system effectiveness is impaired by the inability to rapidly, respond to new threats. A new design approach to interceptor signal processing is made possible by three developments: Moore's Law - driven improvement in computational throughput;a newly introduced vector computing capability in general-purpose processors and a modern set of open interface software standards. Today's multiprocessor commercial-off-the-shelf (COTS) platforms hav

关键词： signal processing Digital signal processing Target detection Detection and tracking algorithms Image processing Standards development MATLAB Commercial off the shelf technology signal to noise ratio Software development

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