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ON THE DESIGN OF A BROAD CLASS OF 2-D RECURSIVE DIGITAL-FILTERS WITH FAN, DIAMOND AND ELLIPTICALLY-SYMMETRICAL RESPONSES

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL signal processing 1994年第9期41卷 603-614页

作者： GU, QS SWAMY, MNS Centre for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

This paper deals with the design of a broad class of 2-D recursive digital filters including general fan, diamond and elliptically-symmetric filters. At first, the explicit design of quadrant and +/- 45-degrees fan filters is reviewed. A full-plane diamond filter (both axes are nearly of length 2 pi) can easily be obtained through an appropriate transformation of a +/- 45-degrees fan filter. Using this diamond filter as a prototype, a very simple spectral transformation is then proposed to design full-plane circularly-symmetric filters (radius almost-equal-to pi). These filters share the same lattice wave digital structure and employ only first or second order all-pass sections which can be realized by two-port adaptors. They provide very desirable properties such as low sensitivity, high dynamic range and good stability even under finite arithmetic conditions. Using the above mentioned filters as prototypes, a multirate approach is then introduced to deal with the design of fan filters with arbitrary angle and orientation, diamond and elliptically-symmetric filters with arbitrary length of axes. Finally, some design examples are given.

关键词： Digital filters Finite impulse response filter IIR filters Dynamic range Design optimization Polynomials Prototypes Stability Arithmetic Transfer functions

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TRAINING FULLY RECURRENT NEURAL NETWORKS ON A RING TRANSPUTER ARRAY

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MICROPROCESSORS AND MICROSYSTEMS 1994年第1期18卷 5-11页

作者： KECHRIOTIS, G MANOLAKOS, ES Communications and Digital Signal Processing (CDSP) Center Electrical and Computer Engineering Department Northeastern University Boston MA 02115 USA

We describe the parallel implementation of fully recurrent neural networks (RRN) on a transputer-based multiprocessor system. To train the RNN, the real-time recurrent learning (RTRL) algorithm was used. The computationally intensive sequential RTRL algorithm has been transformed to an equivalent parallel algorithm, realized in a ring topology that can be matched to a variety of target architectures, ranging from application specific VLSI arrays to general purpose multiprocessor systems. A ring array of up to 19 T800 transputers was programmed to efficiently perform the parallel RTRL algorithm. The speedup of the transputer implementation was estimated both analytically and through simulations, and the effect of the communication overhead is discussed. It is shown that as more neuron units are allocated to the same processor the efficiency is increased.

关键词： PARALLEL processing RECURRENT NEURAL NETWORKS TRANSPUTER ARRAYS

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TRAINING FULLY RECURRENT NEURAL NETWORKS WITH COMPLEX WEIGHTS

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL signal processing 1994年第3期41卷 235-238页

作者： KECHRIOTIS, G MANOLAKOS, ES Center for Communications and Digital Signal Processing (CDSP) Research and Graduate Studies Electrical and Computer Engineering Department Northeastern University Boston MA USA

In this brief paper, the Real Time Recurrent Learning (RTRL) algorithm for training fully recurrent neural networks in real time, is extended for the case of a recurrent neural network whose inputs, outputs, weights and activation functions are complex. A practical definition of the complex activation function is adopted and the complex form of the conventional RTRL algorithm is derived. The performance of the proposed algorithm is demonstrated with an application in complex communication channel equalization.

关键词： Recurrent neural networks signal processing algorithms Communication channels Neural networks Backpropagation algorithms State-space methods Limit-cycles Speech processing Adaptive equalizers Digital signal processing

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A NOVEL ITERATIVE METHOD FOR THE RECONSTRUCTION OF signalS FROM NONUNIFORMLY SPACED SAMPLES

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signal processing 1994年第2期37卷 203-213页

作者： PLOTKIN, EI SWAMY, MNS YOGANANDAM, Y Centre for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal Quebec Canada H3G 1M8

In this paper we address the problem of reconstruction of signals from their nonequally spaced samples. Exploiting the close-to-band structure of the composing matrix, a two-stage procedure for the recovery of uniform samples from nonuniform samples has been suggested by Plotkin and Swamy (1987). In order to reduce the computational complexity, a special procedure of partitioning the composing matrix into a set of overlapping submatrices was used. Then the error in the estimate was reduced by applying an iterative procedure. The present paper is an extension of results presented by Plotkin and Swamy (1987). In this we propose a modification to their procedure, so as to recover an equal number of uniformly spaced samples as are those in the nonuniform set. We show that the iterative algorithm converges conditionally and the conditions are weak and may be implemented easily. computer simulation results have been presented which show that the proposed technique performs well even for deviations of nonuniform sample positions well beyond the corresponding uniform positions. The proposed method is attractive from computational point of view also.

关键词： NONUNIFORM SAMPLING signal RECONSTRUCTION ITERATIVE ALGORITHMS

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Adaptive multiuser detector for synchronous code division multiple access applications 13th

Adaptive multiuser detector for synchronous code division mu...

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13th International Zurich Seminar on Digital communications, 1994

作者： Siveski, Zoran Bar-Ness, Yeheskel Chen, David W. Center for Communications and Signal Processing Electrical and Computer Engineering Department New Jersey Institute of Technology University Heights NewarkNJ07102 United States Delft University of Technology Faculty of Electrical Engineering Telecommunications and Traffic-Control Systems Group Delft Netherlands Center for Communications and Signal Processing Research NJIT NewarkNJ07102 United States

ISBN: (纸本)9783540578567

A two-stage multiuser detector for the code division multiple access environment employing a combination of a decorrelator and a nonlinear multiuser interference canceler is considered. The weights of the canceler are adaptively adjusted, thus rendering the knowledge of the received signal energies unnecessary. The probability of error is evaluated and compared to those of the decorrelator and a similar two-stage, fixed-weights scheme which requires an estimation of signal energies. © Springer-Verlag Berlin Heidelberg 1994.

关键词： Code division multiple access

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A novel subspace-based approach to parameter estimation

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Digital signal processing 1994年第1期4卷 40-48页

作者： Chun, Jongtae Bose, N.K. The Spatial and Temporal Signal Processing Center Electrical and Computer Engineering Department The Pennsylvania State University University Park PA 16802 United States

The known eigendecomposition-based subspace techniques for parameter estimation of multiple signals in additive white noise or the directions of arrivals of wavefronts at an array of sensors use either the information generated from the noise subspace or the signal subspace. Here, we directly use information from both the noise and signal subspaces to estimate the parameters. Comparisons with other subspace techniques are made and an illustrative example is provided. © 1994 Academic Press, Inc.

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A stochastic importance sampling methodology for the efficient simulation of digital communication systems with RLS adaptive equalisers

A stochastic importance sampling methodology for the efficie...

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IEEE International Conference on communications (ICC)

作者： W.A. Al-Qaq J.K. Townsend Center for Communications and Signal Processing Department of Electrical & Computer Engineering North Carolina State University Raleigh NC USA Center for Communications and Signal Processing Department of Electrical & Computer Engineering North Carolina State University Raleigh NC USA

Obtaining a satisfactory precision on estimates of low bit error rates (BER's) in digital communication systems using the conventional Monte Carlo (MC) method can be a prohibitive task due to long run time. While maintaining the same precision, importance sampling (IS) techniques can substantially reduce this run time using MC simulation. To obtain these speed-up factors, the IS parameters specifying the simulation probability density function (pdf) must be carefully chosen. The authors present an IS technique for the efficient simulation of baseband communication systems characterized by a static channel and a recursive least square (RLS) linear adaptive equalizer in the presence of additive white Gaussian noise (AWGN). This IS technique is based on a stochastic gradient descent (SGD) optimisation algorithm. Speed-up factors of 6 to 9 orders of magnitude over conventional the MC method were attained for error probabilities in the range of 10/sup -6/ to 10/sup -9/.< >

关键词： Stochastic processes Monte Carlo methods AWGN Bit error rate Digital communication Probability density function Baseband Least squares methods Resonance light scattering Adaptive equalizers

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On global stability of a linear time-varying system in the presence of two kinds of local instabilities

On global stability of a linear time-varying system in the p...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Wen Tong E.I. Plotkin M.N.S. Swamy Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

In this paper, we introduce two new types of local instabilities which exclusively pertain to a linear time-varying (LTV) system. Investigation of these local instabilities has lead to new necessary and sufficient conditions for a LTV system to be globally stable. It is shown that a direct extension of the stability conditions of a linear time-invariant (LTI) system is not applicable to a LTV system. The admissible area for a set of coefficients of a globally stable LTV system has been established and this area is found to be much larger than its LTI system counterpart.

关键词： Stability Time varying systems Eigenvalues and eigenfunctions System testing Sufficient conditions Lyapunov method Matrix converters Time domain analysis

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A fast FFT bit-reversal algorithm

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IEEE Transactions on Circuits and Systems II: Analog and Digital signal processing 1994年第10期41卷 701-703页

作者： D. Sundararajan M. Omair Ahmad M.N.S. Swamy Centre for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

The necessity for an efficient bit-reversal routine in the implementation of fast discrete Fourier transform algorithms is well known. In this paper, we propose a bit-reversal algorithm that reduces the computational effort to an extent that it becomes negligible compared with the data swapping operation for which the bit-reversal is required.< >

关键词： Discrete Fourier transforms Circuits Digital signal processing Councils signal processing

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A neural network approach to broadcast scheduling in multi-hop radio networks

A neural network approach to broadcast scheduling in multi-h...

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International Joint Conference on Neural Networks (IJCNN)

作者： Gangsheng Wang N. Ansari Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology University Heights Newark NJ USA Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering University Heights Newark NJ USA

The problem of scheduling interference-free transmissions with maximum throughput in a multi-hop radio network is NP-complete. The computational complexity becomes intractable as the network size increases. In this paper, the scheduling is formulated as a combinatorial optimization problem. An efficient neural network approach, namely, mean field annealing, is applied to obtain optimal transmission schedules. Numerical examples show that this method is capable of finding an interference-free schedule with (almost) optimal throughput.< >

关键词： Neural networks Radio broadcasting Intelligent networks Spread spectrum communication Radio networks Optimal scheduling Interference Radio network Processor scheduling Throughput

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