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Enhanced waveform interpolative coding at 4 kbps

Enhanced waveform interpolative coding at 4 kbps

引用

IEEE Workshop on Speech Coding Proceedings

作者： O. Gottesman A. Gersho Signal Compression Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

This paper presents an enhanced waveform interpolative (EWI) speech coder at 4 kbps. The system incorporates novel features such as analysis-by-synthesis (AbS) vector-quantization (VQ) of the dispersion-phase, AbS optimization of the slowly evolving waveform (SEW), a special pitch search for transitions, and switched-predictive analysis-by-synthesis gain VQ. Subjective quality tests indicate that it exceeds that of MPEG-4 at 4 kbps and of G.723.1 at 5.3 kbps, and it is slightly better than that of G.723.1 at 6.3 kbps.

关键词： Laboratories Speech enhancement Low pass filters Parameter estimation Quantization Electronic mail System testing MPEG 4 Standard Degradation Robustness

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Real time 3D animation using progressive transmission

Real time 3D animation using progressive transmission

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： J. Greenberg W. Kinsner Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada

Current methods of compressing 3D animation for transmission over the Internet tend to be of very low quality. Quality is sacrificed to keep bandwidth low when using lossy compression techniques such as MPEG, Cinepak, or more recent formats such as Vivo and VDOnet. While these techniques can be effective approaches to all-purpose video compression, it should be possible to achieve better performance with the knowledge that the source consists of 3D animation. A new technique is proposed, which instead of focusing on compressing the rendered frames of the animation sequence, compresses and optimizes the original source scene data for streaming, and renders the 3D scene in real time on the client system.

关键词： Animation Layout Image coding Internet Bandwidth Video compression Transform coding Data compression Laboratories Streaming media

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ECG signal compression and analysis in long-term monitoring

ECG signal compression and analysis in long-term monitoring

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： B. Huang W. Kinsner Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada

This paper presents a moment-invariant compression technique for electrocardiogram (ECG) signals, applicable in a long-term (Holter) monitoring and analysis. It focuses on morphological cycle-to-cycle ECG data compression of a normal case. Experimental results show that the technique is suitable for real-time computation. Combined with Shannon-Fano encoding, the compression ratio achieves 21.74:1. The reconstruction error is very low, and performance is less affected by noise.

关键词： Electrocardiography signal analysis signal processing computerized monitoring Data compression signal sampling Morphology Data engineering Laboratories Image reconstruction

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Analysis of stochastic gradient identification of Hermite polynomial systems with memory

Analysis of stochastic gradient identification of Hermite po...

引用

5th International Symposium on signal Processing and Its Applications, ISSPA 1999

作者： Celka, P. Bershad, N.J. Vesin, J.M. Department of Electrical Engineering Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne 1015 Switzerland Department of Electrical and Computer Engineering School of Engineering University of California Imine CA 92697 United States

ISBN: (纸本)1864354518

This paper presents analytical and Monte Carlo results for a stochastic gradient adaptive scheme which identifies an orthogonal polynomial-type nonlinear system with memory. The analysis includes recursions for the mean and fluctuation behavior of the adaptive parameters as well computation of the mean-square error increase due to the adaptation process. © 1999 IEEE.

关键词： Mean square error

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Perceptual zerotrees for scalable wavelet coding of wideband audio

Perceptual zerotrees for scalable wavelet coding of wideband...

引用

IEEE Workshop on Speech Coding Proceedings

作者： A. Aggarwal V. Cuperman K. Rose A. Gersho Signal Compression Laboratories Department of Electrical and Computer Engineering University of California Santa Barbara USA

This paper introduces a new algorithm for scalable coding of wideband audio signals. The technique is based on quantization of bi-orthogonal wavelet transformed coefficients using a perceptual zerotree method. An initial zerotree estimate of the wavelet coefficients is computed, followed by scalar quantization of the coefficients according to perceptual thresholds. The choice of wavelet decomposition and encoding parameters for each frame is adapted to the source characteristics employing a rate distortion criterion. The scalability of the coder is due to the tree structure, which enables graceful degradation with decrease in bit rate. Preliminary subjective tests indicate near-transparent quality for average bit rates in the range of 1.5 to 2.5 bits per sample.

关键词： Wideband Quantization Bit rate Wavelet coefficients Encoding Rate-distortion Scalability Tree data structures Degradation Testing

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Round-off error free fixed-point design of polynomial FIR predictors 33

Round-off error free fixed-point design of polynomial FIR pr...

引用

33rd Asilomar Conference on signals, Systems, and computers, ACSSC 1999

作者： Tanskanen, J.M.A. Dimitrov, V.S. Institute of Intelligent Power Electronics Department of Electrical and Communications Engineering Helsinki University of Technology Espoo Finland Laboratory of Signal Processing and Computer Technology Department of Electrical and Communications Engineering Helsinki University of Technology Espoo Finland

ISBN: (纸本)0780357000

We present a novel method for designing polynomial FIR predictors for fixed-point environments. Our method yields filters that perform exact prediction of polynomial signals even with short coefficient word lengths. Under ordinary coefficient truncation or rounding, the prediction capability degrades, or may be totally lost. With the proposed method, the filters are designed so that the predictive properties are exactly preserved in fixed-point implementations. The proposed filter design method is based on integer programming (IP) and can be directly applied to any fixed-point FIR design specifications which can be formulated in a form of linear constraints on the filter coefficients. © 1999 IEEE.

关键词： Polynomials

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Underground imaging based on edge-preserving regularization

Underground imaging based on edge-preserving regularization

引用

1999 International Conference on Information Intelligence and Systems, ICIIS 1999

作者： Feng, Haihua Castanon, David A. Karl, W. Clem Multi-Dimensional Signal Processing Laboratory Department of Electrical and Computer Engineering Boston University 8 Saint Mary's Street BostonMA02215 United States

ISBN: (纸本)0769504469

Develops approaches for imaging weak-contrast buried objects using data from a ground penetrating radar array. An approximate physical model relating the collected data to the underground objects is developed. This model uses ray optics to represent the air/soil interface, and a Born approximation to model the weak contrast backscattering from buried objects. In order to address both modeling errors and ill-posedness, the proposed image reconstruction algorithms use regularization based on a total variation norm with orientation preference. The algorithms are tested on data generated by nonlinear finite difference time domain electromagnetic simulations. © 1999 IEEE.

关键词： Electromagnetic simulation

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Characterization and feature extraction of transient signals using multifractal measures

Characterization and feature extraction of transient signals...

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： L. Sun W. Kinsner N. Serinken Department of Electrical and Computer Engineering Signal and Data Compression Laboratory University of Manitoba Winnipeg MAN Canada Communications Rcscarch Centre Ottawa ONT Canada

This paper focuses on multifractal characterization and feature extraction of nonstationary temporal signals, particularly the turn-on transients for radio transmitter classification purposes. A transient signal contaminated by noise can be considered as an output from a chaotic dynamical system. The trajectory of such a system in phase space is often attracted to a bounded fractal object called strange attractor. Transient signals are preprocessed to obtain the corresponding strange attractor in phase space. Multifractal measures based on a generalized entropy are then applied to the strange attractor and features are extracted in terms of a fractal dimension spectrum. Experimental results show that there exists a strange attractor for the transient signal and the fractal dimension spectrum can characterize a transient signal uniquely, even with a relatively short time duration.

关键词： Feature extraction Fractals Transient analysis Radio transmitters Pollution measurement Chaotic communication signal analysis Sun Data compression Laboratories

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Channel equalization by feedforward neural networks

Channel equalization by feedforward neural networks

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： B. Lu B.L. Evans Embedded Signal Processing Laboratory Department of Electrical and Computer Engineering University of Technology Austin TX USA

A signal suffers from nonlinear, linear, and additive distortion when transmitted through a channel. Linear equalizers are commonly used in receivers to compensate for linear channel distortion. As an alternative, nonlinear equalizers have the potential to compensate for all three sources of channel distortion. Previous authors have shown that nonlinear feedforward equalizers based on either multilayer perceptron (MLP) or radial basis function (RBF) neural networks can outperform linear equalizers. In this paper, we compare the performance of MLP vs. RBF equalizers in terms of symbol error rate vs. SNR. We design a reduced complexity neural network equalizer by cascading an MLP and a RBF network. In simulation, the new MLP-RBF equalizer outperforms MLP equalizers and RBF equalizers.

关键词： Neural networks Feedforward neural networks Equalizers Neurons Backpropagation algorithms Least squares approximation Convergence Simulated annealing Bayesian methods Finite impulse response filter

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Analysis of stochastic gradient identification of polynomial nonlinear systems with memory

Analysis of stochastic gradient identification of polynomial...

引用

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

作者： P. Celka N.J. Bershad J.M. Vesin Department of Electrical Engineering Signal Processing Laboratory Swiss Federal Institute of Technology Switzerland Electrical and Computer Engineering Department University of California Irvine USA

This paper presents analytical, numerical and experimental results for a stochastic gradient adaptive scheme which identifies a polynomial-type nonlinear system with memory for noisy output observations. The analysis includes the computation of the stationary points, the mean square error surface, and the mean behaviour of the algorithm for Gaussian data. Monte Carlo simulations confirm the theoretical predictions which show a small sensitivity to the observation noise.

关键词： Stochastic systems Polynomials Nonlinear systems Nonlinear filters Least squares approximation signal analysis Algorithm design and analysis signal processing algorithms Mean square error methods signal to noise ratio

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