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IEEE Southeastcon

作者： A.B. Barreto A.M. Taberner L.M. Vicente Digital Signal Processing Laboratory Electrical & Computer Engineering Department Florida International University Miami FL USA

The existence of characteristic changes in the EEG of a subject preparing for the execution of a voluntary movement is reviewed. Some of those changes, i.e., the "readiness potentials" (RPs), are suggested as a possible link between the internal processes associated with different forms of motion preparation and a digital signal processing system designed to classify the different intended movements. Such a system can potentially be used to provide input to a specialized graphic user interface, constituting a brain-computer interface (BCI). Our current work on neural-network classification of RPs is summarized and the results are presented.

关键词： Electroencephalography Brain computer interfaces Digital signal processing Physiology Aggregates Rhythm Laboratories Process design signal design Graphics

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Implications of a segmentation-based motion compensation scheme for the case of a block transform encoder

Implications of a segmentation-based motion compensation sch...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： M. Sipitca Department of Electrical and Computer Engineering Digital Signal Processing Laboratory Georgia Institute of Technology Atlanta GA USA

Sipitca and Madisetti (see VCIP '96, Orlando, Florida, 1996) have proposed the use of analog position sensors for a more accurate motion compensation on videoconferencing sequences. We investigate the results of including such a motion compensation scheme in a transform based encoder. The more successful motion compensation makes the resulting displaced frame difference (DFD) less correlated. In fact, the autocorrelation function goes practically to zero for a lag larger than 4-5 pels. Therefore, the 4/spl times/4 DCT can be used instead of the 8/spl times/8 DCT. This helps in dealing better with the relatively small regions where the DFD takes on larger values-on the border regions and in the new information regions. Finally, a block swapping algorithm and an appropriate error measure are introduced.

关键词： Motion compensation computer aided software engineering Head Design for disassembly Discrete cosine transforms image segmentation Microphones image edge detection Paper technology Digital signal processing

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A system for vehicle classification from range imagery

A system for vehicle classification from range imagery

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Southeastern Symposium on System Theory

作者： Shiquan Peng C.A. Harlow Department of Electrical and Computer Engineering and Remote Sensing and Image Processing Laboratory Louisiana State University Baton Rouge LA USA

ISBN: (纸本)0818673524

In this project we consider automated vehicle location and classification systems. Current systems which utilize loop detectors or video cameras have deficiencies. Video based systems are sensitive to environmental conditions and do not perform well in vehicle classification. The new generation of range or distance sensors that are being developed offer the promise of sensors which are not sensitive to lighting conditions and provide information which should give better vehicle detection and classification percentages than current systems. The focus of this project is to develop an automated vehicle location and classification system based upon imagery obtained from range sensors. image analysis operators and classification methods are developed for vehicle classification. Preliminary results indicate that accurate vehicle classification can be obtained.

关键词： Vehicle detection Radar detection Sensor systems Costs Infrared detectors Laser radar image processing Road transportation Machine vision Surveillance

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Digital filter equalization of analog gain and phase mismatch in I-Q receivers

Digital filter equalization of analog gain and phase mismatc...

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International Conference on Universal Personal Communications

作者： F. Harris Communications and Signal Processing Laboratory Department of Electrical and Computer Engineering San Diego State University San Diego CA USA

Gain and phase mismatch between the two signal processing paths of an I-Q receiver are responsible for artifacts which limit the dynamic range of a communication system. We describe and demonstrate a technique to adaptively balance the gain and phase of the I-Q paths with DSP based balancing loops which operate as background tasks while processing input data.

关键词： Digital filters signal processing Digital signal processing Frequency Sparse matrices Laboratories Dynamic range Gain Temperature Blind equalizers

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ScaleNet-multiscale neural network architecture for time series prediction

ScaleNet-multiscale neural network architecture for time ser...

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IEEE Convention of the electrical and ELectronic Engineers in Israel

作者： A.B. Geva A.K. Altman Electrical and Computer Engineering Department Ben-Gurion University of the Negev Beersheba Israel Electrical Engineering Department The Physiological Signal Processing Laboratory Technion-Israel Institute of Technology Israel

The effectiveness ofthe multiscale neural network (NN) architecture for time series prediction of nonlinear dynamic systems has been investigated. The prediction task is simplified by decomposing the time series into separate scales of wavelets, and predicting each scale by a separate multilayer perceptron NN. The different scales of the wavelet transform provides an interpretation of the series structures and information about the history of the series, using fewer coefficients than other methods. In the next stage, the predictions of all the scales are combined, applying another perceptron NN, in order to predict the original time series. Each network is trained by the backpropagation algorithm using the Levenberg-Marquadt method. The weights and biases are initialized by new clustering methods, which improved the prediction results compared to random initialization. Three sets of data were analyzed: the sunspots benchmark, fluctuations in a far-infrared laser and a numerically generated series (set A and D in the Santa Fe competition). Taking the ultimate goal to be the accuracy of the prediction, we find that our suggested architecture outperforms traditional nonlinear statistical approaches.

关键词： Neural networks Multilayer perceptrons Wavelet transforms History Backpropagation algorithms Clustering methods Data analysis Fluctuations Iron Accuracy

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Data-adaptive algorithms for signal detection in impulsive noise modeled as a subGaussian, alpha-stable process

Data-adaptive algorithms for signal detection in impulsive n...

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IEEE Workshop on Statistical signal and Array processing

作者： G.A. Tsihrintzis C.L. Nikias Communication Systems Laboratory Department of Electrical Engineering University of Virginia Charlottesville VA USA Signal and Image Processing Institute Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA

We address the problem of coherent detection of a signal embedded in heavy-tailed noise modeled as a subGaussian, alpha-stable process. We assume that the signal is a complex-valued vector of length L, known only within a multiplicative constant. The dependence structure of the noise, i.e., the underlying matrix of the sub Gaussian process, is not known. The intent is to implement a generalized likelihood ratio detector which employs robust estimates of the unknown noise underlying matrix and the unknown signal strength. The performance of the proposed adaptive detector is compared to that of an adaptive matched filter that uses Gaussian estimates of the noise underlying matrix and the signal strength and is found to be clearly superior. The proposed new algorithms an evaluated via Monte-Carlo simulation.

关键词： signal detection Interference signal processing signal processing algorithms Detectors Gaussian noise signal design Probability distribution image processing Noise robustness

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Narrow-band FIR filtering with FPGAs using sigma-delta modulation encoding

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Journal of VLSI signal processing Systems for signal, image, and Video Technology 1996年第3期14卷 265-282页

作者： Dick, Chris Harris, Fred School of Electronic Engineering La Trobe University Vic. 3083 Australia Department of Electrical and Computer Engineering San Diego State University San Diego CA 92182-0190 United States School of Electronic Engineering La Trobe University Melbourne Vic. Australia Signal Processing Research Laboratory IEEE ECE Department San Diego State University San Diego CA United States

This paper addresses the problem of implementing narrow-band FIR filters using FPGAs. Rather than employing a conventional multiply-accumulate unit to compute the inner-product, an alternative method based on re-quantization of the input data stream using a sigma-delta modulator is presented. The re-quantization process preserves the dynamic range of the signal components contained in the bandwidth of the filter, while shifting the re-quantization noise to the spectral region to be rejected by the filter. The reduced bit length representation of the re-quantized input data samples removes the requirement for a full multiplier in the filter hardware. This makes the method very attractive for realization using FPGA technology. The filtering technique is described and implementation results using a Xilinx XC4010 FPGA are presented. A 200-tap filter implemented in a single FPGA achieves a computation rate of 415 MOPS and has a memory bandwidth of 1.66 Gbytes/s. An extension of the method using a quadrature re-quantizer and filter is also presented. © 1996 Kluwer Academic Publishers.

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Design of optimal digital FIR filters with arbitrary magnitude and phase responses

Design of optimal digital FIR filters with arbitrary magnitu...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： L.J. Karam J.H. McClellan Telecommunications Research Center Department of Electrical Engineering Arizona State University Tempe AZ USA Digital Signal Processing Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

This paper presents a new multiple-exchange ascent algorithm for designing optimal Chebyshev digital FIR filters with arbitrary magnitude and phase specifications. Compared to existing Chebyshev design techniques, the new design algorithm exhibits faster convergence while maintaining high accuracy, and is guaranteed to converge to the optimal solution. In addition, the proposed algorithm reduces to the classic second Remez (Parks-McClellan) algorithm when real-only or imaginary-only filters are designed and is, therefore, a true generalization of the classic Remez algorithm to the complex case.

关键词： Finite impulse response filter Digital filters Chebyshev approximation Algorithm design and analysis signal processing algorithms Frequency response Electronic mail Design optimization Filtering Robustness

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Low-complexity subspace selection for partial adaptivity

Low-complexity subspace selection for partial adaptivity

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MILCOM, Military Communications Conference

作者： J.S. Goldstein I.S. Reed R.N. Smith Space Communications Branch Rome Laboratory US Air Force Rome NY USA Statistical Signal and Image Processing Laboratory Department of Electrical Engineering EEB 528 University of Southern California Los Angeles CA USA

This paper introduces low-complexity frequency domain approximations of optimal partially adaptive sensor array processors for space communications. Space-segment sensor arrays, for military and other critical communications links, require adaptivity to provide ECCM and mitigate interference. The size, weight, and power restrictions of such platforms, however, prohibit full adaptivity. The design of low-complexity reduced-rank processors are investigated in this paper. It is demonstrated that the performance of full-rank adaptive arrays is obtainable by low-rank processors through the use of frequency domain implementations of a cross-spectral metric.

关键词： Sensor arrays signal processing Array signal processing Adaptive arrays Discrete Fourier transforms Interference Frequency domain analysis Covariance matrix Discrete cosine transforms Narrowband

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Interference mitigation in orthogonal frequency division multiplexing (OFDM)

Interference mitigation in orthogonal frequency division mul...

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International Conference on Universal Personal Communications

作者： R.W. Lowdermilk F.J. Harris Communications and Signal Processing Laboratory Department of Electrical and Computer Engineering San Diego State University San Diego CA USA Advanced Development Operations Lockheed Martin Corporation San Diego CA USA

Orthogonal frequency division multiplexing (OFDM) is a modulation scheme purported to be insensitive to the multipath effects of a mobile communication channel as well as exhibiting immunity to narrow-band interference via hole punching in the OFDM spectrum. We examine and verify the OFDM bit error rate sensitivity to low level interference and introduce and demonstrate a spectrum spreading technique to reduce the effect of the narrow-band interferer.

关键词： Interference OFDM modulation Pulse modulation Pulse shaping methods Frequency domain analysis signal processing Narrowband Bit error rate Demodulation Fast Fourier transforms

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