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A new time series classification approach

signal PROCESSING 1996年第2期54卷 191-199页

作者： Plataniotis, KN Androutsos, D Venetsanopoulos, AN Lainiotis, DG Department of Electrical and Computer Engineering Digital Signal & Image Processing Laboratory University of Toronto 10 King's College Rd. Toronto Ontario M5S 3G4 Canada Intelligent Systems Technology 3207 S. Hwy. A1A Melbourne Beach FL-32951 USA

A new, robust and computationally attractive approach to the problem of time series classification is discussed in this paper. Both the Bayesian as well as a new adaptive classification scheme for source selection are... 详细信息

关键词： time series classification neural networks logistic function

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Neural network classification of spatio-temporal EEG readiness potentials

Neural network classification of spatio-temporal EEG readine...

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Southern Biomedical engineering Conference

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 detection of spatio-temporal scalp EEG patterns associated with voluntary motion preparation towards the development of a brain-computer interface (BCI) is explored. The rationale for the use of a spatio-temporal approach to this detection problem is explained. The need for a temporal or dynamic classifier is confirmed by demonstration of the lack of robustness in static neural network classifiers with respect to time alignment of the patterns under analysis. The results from dynamic classifiers, such as the Time Delay Neural Network (TDNN) and the Gamma Neural Network are presented in terms of their Receiver Operating Characteristic (ROC) Curves.

关键词： Neural networks Electroencephalography Rhythm Biological neural networks Motion detection Eyes Digital signal processing Brain computer interfaces computer interfaces Scalp

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Classification of spatio-temporal EEG readiness potentials towards the development of a brain-computer interface

Classification of spatio-temporal EEG readiness potentials t...

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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 radio transmitter fingerprinting system ODO-1

A radio transmitter fingerprinting system ODO-1

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Canadian Conference on electrical and computer engineering (CCECE)

作者： J. Toonstra W. Kinsner Dept. of Electr. & Comput. Eng. Manitoba Univ. Winnipeg Man. Canada Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada

This paper presents a new method for the capture, analysis, and classification of radio transmitter transients. This method involves the use of a capturing subsystem consisting of an Icom IC-R7000 communications receiver and a Sound Blaster 16 sound card running on a PC. The radio transients are sampled at 44,100 samples per second and have 16 bits accuracy. Once the transmitter transient has been captured, a genetic algorithm selects the critical features from the wavelet coefficients for classification. The selected wavelet coefficients are considered to be fingerprints, and are presented to a back propagation neural network for transmitter classification. The capturing and analysis system, ODO-1, is able to classify both transients of the same model type as well as individual transmitters with 100% accuracy on a small data base of transmitter fingerprints.

关键词： Radio transmitters Fingerprint recognition Transient analysis Genetic algorithms Wavelet analysis Loudspeakers Wavelet coefficients Neural networks Frequency synthesizers Algorithm design and analysis

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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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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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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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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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