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Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94

May 30 1994-June 2 1994

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  • Chaotic signals generated by digital filter overflow

    Publication Year: 1994, Page(s):17 - 20 vol.6
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (363 KB)

    The paper surveys the chaotic behaviour of digital filter overflow oscillations. The behaviour patterns of 1st, 2nd and 3rd order filters are described and the available stochastic characteristics of oscillations with chaotic features are illustrated by means of probability density functions and power density spectra for a range of filter parameters and initial states. The analysis and simulation ... View full abstract»

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  • Influence of the drive-signal resonant overtone on subharmonic injection-locking characteristics

    Publication Year: 1994, Page(s):209 - 212 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (334 KB)

    The influence of a small but nonzero resonant overtone of the drive-signal on the static and dynamic characteristics of subharmonic injection-locked oscillators is investigated by means of a perturbation based phasor-domain approach. Both theoretical and computer simulation results show that, if certain conditions on the circuit parameters occur, even a very small amplitude overtone (e.g., -60 dBc... View full abstract»

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  • Neural networks for quaternion-valued function approximation

    Publication Year: 1994, Page(s):307 - 310 vol.6
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (305 KB)

    In the paper a new structure of a Multi-Layer Perceptron, able to deal with quaternion-valued signals, is proposed. A learning algorithm for the proposed Quaternion MLP (QMLP) is also derived. Such a neural network allows one to interpolate functions of a quaternion variable with a smaller number of connections with respect to the corresponding real valued MLP.<> View full abstract»

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  • A discrete-time equivalent system approach to the periodic response of nonlinear autonomous circuits

    Publication Year: 1994, Page(s):33 - 36 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (272 KB)

    The problem of computing the steady state response of nonlinear autonomous circuits is solved making use of a discrete-time equivalent system approach. With the application of an s-plane to z-plane mapping, the circuit equations are discretized and written in vector form. Using this technique, it is not necessary to repeatedly compute transforms between the time and the frequency domain. An effici... View full abstract»

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  • Modelling sound with chaos

    Publication Year: 1994, Page(s):93 - 96 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    This paper is about exploiting chaos theory to provide a means for modelling sound on a computer. A new technique is described for the analysis and resynthesis of a sound using a chaotic system. Preliminary results are promising: a synthetic version of `air noise' is generated which sounds very much like the original View full abstract»

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  • Predicting complex chaotic time series via complex valued MLPs

    Publication Year: 1994, Page(s):29 - 32 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    In the paper it is proposed the use of a complex valued multi-layer perceptron neural network (MLP) with complex activation functions and complex connection strengths in order to perform the estimation of chaotic time series. In particular, the Ikeda map is taken into consideration. A comparison between the behavior of the real MLP and the complex one is also reported, showing that the complex val... View full abstract»

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  • Cellular neural networks: the analogic microprocessor?

    Publication Year: 1994, Page(s):289 - 294 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (452 KB)

    The various special features of cellular neural networks are presented. It is stated what has been achieved so far and what future work is still needed in order to obtain a truly universal building block for information processing systems View full abstract»

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  • Pattern recognition and system control with a neural processor

    Publication Year: 1994, Page(s):257 - 260 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB)

    We describe a neurally inspired processor with on-chip learning. The processor is capable of providing real-time detection of principle features in complex waveforms and system control. Experimental results of pattern recognition and adaptive control using this chip confirm an array of the processing elements can extract important information from the input and produce reduced dimensional represen... View full abstract»

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  • Analysis of bifurcation points of nonlinear resistive circuits by curve tracing method

    Publication Year: 1994, Page(s):121 - 124 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB)

    In this paper, we discuss a computational method for obtaining the bifurcation points of nonlinear resistive circuits. There are many kinds of the bifurcation points such as limit point, branch point and isola. At these singular points, the Jacobian matrix becomes singular so that we cannot apply usual numerical techniques such as Newton method to get them. We present here a curve tracing algorith... View full abstract»

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  • Analog VLSI chip for stereocorrespondence

    Publication Year: 1994, Page(s):347 - 350 vol.6
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    Stereocorrespondence is one of the classical problems in machine vision. The problem concerns the determination of corresponding points in a pair of images taken from two vantage points. Correspondence is difficult to find when the two images contain many identical features. The author describes an improved stereocorrespondence algorithm based on a combination of computational, psychophysical, and... View full abstract»

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  • Invariant sets for general second-order low-pass delta-sigma modulators with DC inputs

    Publication Year: 1994, Page(s):1 - 4 vol.6
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    An invariant set, S, is a set of points in state space which has the property that all trajectories emanating from points in S remain in S. Such sets are useful in the context of delta-sigma modulation as they yield rigorous theoretical bounds on the state variables. This paper describes analytic and algorithmic methods for finding invariant sets of second-order delta-sigma modulators with DC inpu... View full abstract»

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  • Controlling chaotic motions in Chua's circuit via tunnels

    Publication Year: 1994, Page(s):89 - 92 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    A new method is given, which converts a chaotic motion in Chua's circuit to a periodic motion. A tunnel mechanism is used to perform this conversion View full abstract»

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  • Decomposed parametric form of the state model of a piecewise-linear system

    Publication Year: 1994, Page(s):25 - 28 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    The basic form of the state model of a piecewise-linear (PWL) system is modified to the so called decomposed parametric form. Such a modification has all advantages of the basic form. However, it is more suitable namely for finding the model parameters. This property provides a new possibility to verify all the attainable types of PWL functions that can be modelled by the state model and to transf... View full abstract»

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  • Analog CMOS implementation of neural network for adaptive signal processing

    Publication Year: 1994, Page(s):503 - 506 vol.6
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB)

    A modular analog CMOS artificial neural network is designed and fabricated for adaptive signal processing. A modified Gilbert multiplier is used as a linear combination of several input signals. Modified back-propagation continuous-time learning rules are used as an adaptive algorithm. The adaptive algorithm adjusts the weights in real time by on-chip learning circuits. Hardware learning circuits ... View full abstract»

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  • Stereo correspondence with discrete-time cellular neural networks

    Publication Year: 1994, Page(s):225 - 228 vol.6
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB)

    In this paper, we propose a new approach of solving the stereopsis problem with a discrete-time cellular neural network (DTCNN) where each node has connections only with its local neighbors. Because the matching process of stereo correspondence depends on its geometrically local characteristics, the DTCNN is suitable for the stereo correspondence. Moreover, it can be easily implemented in VLSI. Th... View full abstract»

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  • The back propagation method for CNN

    Publication Year: 1994, Page(s):463 - 466 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB)

    In this paper, a new back propagation method is presented. The method does not require a sigmoid function but a simple piecewise-linear function for the neurons. Because a cellular neural network (CNN) is able to use this kind of simple nonlinear function, the presented method may be applied to CNNs. Also the presented method can be applied not only to CNNs but also to any multilayer type neural n... View full abstract»

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  • Extraction of depth information by cellular neural networks

    Publication Year: 1994, Page(s):281 - 284 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB)

    This paper describes dynamic depth extraction for binocular stereo visual information by CNN (cellular neural network). The quantization for the funneling information is done by parallel neurons. And, the correspondence problem can be solved by pattern recognition for analog images reconstructed from the transmitted funneling halftoning images. The competitive CNN is used. The computer simulation ... View full abstract»

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  • Neural network control of FES in paraplegics for patient-responsive ambulation

    Publication Year: 1994, Page(s):249 - 252 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    The paper describes an ART-1-based neural network adapted for controlling functional electrical stimulation (FES) to facilitate patient-responsive ambulation by paralyzed patients with spinal cord injuries. The proposed neural network discriminates above-lesion upper-trunk EMG time series to activate standing and walking functions under FES and controls FES stimuli levels using response-EMG signal... View full abstract»

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  • Performance of Yamakawa's chaotic chips and Chua's circuits for secure communications

    Publication Year: 1994, Page(s):105 - 108 vol.6
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB)

    In this paper, we demonstrate how Yamakawa's chaotic chips and Chua's circuits can be used to implement a secure communication system based on chaotic modulation/demodulation systems. Furthermore, their performance for the secure communication is discussed View full abstract»

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  • New algorithms in piecewise linear resistive simulation

    Publication Year: 1994, Page(s):117 - 120 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB)

    This paper presents a piecewise linear (PWL) resistive simulator. It uses an efficient algorithm to obtain the constraint matrix of a linear multiport from the modified nodal analysis (MNA) equations and a novel algorithm to solve the generalized linear complementarity problem (GLCP) that arises from the PWL circuit equations View full abstract»

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  • A multilayer feedforward neural network model for digital hardware implementation

    Publication Year: 1994, Page(s):343 - 346 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB)

    A design algorithm for two-layer feedforward neural networks (2FNNs) for discrete input-output mapping is proposed. In this algorithm, uniformly quantized discrete weights are used, which could be in the form of either one-powers-of-two (OPOT) values or sum-of-powers-of-two (SPOT) values. The simplified sigmoid activation functions (SSAFs) are used at hidden neurons and the step functions are used... View full abstract»

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  • Algorithms for the automatic design of the decomposed state model of an one-dimensional piecewise-linear system

    Publication Year: 1994, Page(s):45 - 48 vol.6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB)

    Present paper deals with the problem of automatic design of the implicit state model (in its decomposed parametric form) of any one-dimensional piecewise-linear (PWL) system. This model consists of the internal and the external parts which provides the possibility of finding the model parameters, i.e. to solve separately the two main problems of an one-dimensional PWL model design: (i) existence o... View full abstract»

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  • Rigorous and realistic control of piecewise linear chaos

    Publication Year: 1994, Page(s):81 - 84 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    A simple but efficient control method of piecewise linear chaos is proposed. It operates only in a linear region and must stabilize any unstable periodic orbit in a theoretical sense. We apply the method for a hysteresis chaos generator for which some theoretical evidence for chaos can be given. An implementation example of the control method is also given View full abstract»

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  • Dynamics of a simple hysteresis network

    Publication Year: 1994, Page(s):21 - 24 vol.6
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    In order to approach the explication of rich dynamics from a large scale nonlinear network, this paper analyses a continuous time hysteresis network whose cross connection is uniform. This system has only two parameters. Applying an efficient piecewise linear technique for a binary hysteresis element, we can clarify the existence condition of periodic orbits and the number of them. Also we can pro... View full abstract»

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  • CMOS current-mode chaotic neurons

    Publication Year: 1994, Page(s):499 - 502 vol.6
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    This paper presents two nonlinear CMOS current-mode circuits that implement neuron soma equations for chaotic neural networks, and another circuit to realize programmable current-mode synapse using CMOS-compatible BJT's. They have been fabricated in a double-metal, single-poly 1.6 μm CMOS technology and their measured performance reached the expected function and specifications. The neuron soma... View full abstract»

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