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 (5)
    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 (19)
    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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  • Adaptive RBF neural network in signal detection

    Publication Year: 1994, Page(s):265 - 268 vol.6
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (264 KB)

    This paper addresses the application of locally optimum (LO) signal detection techniques to environments in which the noise density is not known a-priori. For small signal levels, the LO detection rule is shown to involve a nonlinearity which depends on the noise density. The estimation of the noise density is a major part of the computational burden of LO detection rules. In this paper, adaptive ... View full abstract»

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  • Search of optimal solutions in multi-level neural networks

    Publication Year: 1994, Page(s):423 - 426 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (292 KB)

    The output of a multi-level neuron produces a multibit representation. The total network size with multilevel neurons can therefore be significantly reduced from a conventional network with two-level neurons. The reduction in network size benefits VLSI implementation. Due to the nonlinearity associated with a neuron transfer function, multiple local minima exist in the energy function of a multi-l... View full abstract»

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  • Multimode chaos in two coupled chaotic oscillators with hard nonlinearities

    Publication Year: 1994, Page(s):109 - 112 vol.6
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (268 KB)

    In this study, multimode chaos observed from two coupled chaotic oscillators with hard nonlinearities is investigated. At first, a simple chaotic oscillator with hard nonlinearities is realized. It is confirmed that in this chaotic oscillator the origin is always asymptotically stable and that the solution, which is excited by giving relatively large initial conditions, undergoes period-doubling b... View full abstract»

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  • An image binarization and reconstruction with resistive network

    Publication Year: 1994, Page(s):261 - 264 vol.6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (256 KB)

    This paper describes a novel image binarization/reconstruction system between natural and halftoning images, based on a non-linear large resistive network, which realizes a simple low level retina and image recognition View full abstract»

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  • Fast convergence with low precision weights in ART1 networks

    Publication Year: 1994, Page(s):237 - 240 vol.6
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (396 KB)

    A new learning law, the Direct Coding Rule, is proposed for bottom-up long term memory learning in Adaptive Resonance Theory (ART) networks. This law requires less computational precision than the traditional Weber Law Rule and modifies the search dynamics of the network to accelerate convergence. Following a brief mathematical analysis of the new learning law, an ART1 network based on this law is... View full abstract»

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  • Computationally-improved optimal filtering for supervised learning [feedforward neural nets]

    Publication Year: 1994, Page(s):419 - 422 vol.6
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (272 KB)

    We propose a modification of the Kalman filtering approach to supervised learning that avoids existing approximations while improving its overall computational efficiency. The modification eliminates the necessity of computing an inverse. The same global network structure is retained while the computational effort is extensively reduced. The performance of the approach with the modification, asses... 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 (5)  |  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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  • Single-layer CNN simulator

    Publication Year: 1994, Page(s):217 - 220 vol.6
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (284 KB)

    An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The simulator is capable of performing Single-Layer CNN simulations for any size of input image, thus a powerful tool for researchers investigating potential applications of CNN. This paper reports an efficient algorithm exploiting the latency properties of Cellular Neural Networks along with numerical... 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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  • An analogue radial basis function circuit using a compact Euclidean distance calculator

    Publication Year: 1994, Page(s):233 - 236 vol.6
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (300 KB)

    We describe an analogue VLSI circuit which implements the Radial Basis Function (RBF) algorithm. This circuit is based around a compact Euclidean distance calculator which has been fabricated and tested. Preliminary results indicate that inter-device variations in the fabricated RBF can be compensated for using chip-in-the-loop training View full abstract»

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  • Arabic text recognition using neural networks

    Publication Year: 1994, Page(s):415 - 418 vol.6
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (292 KB)

    Recognizing multi-font Arabic texts is a difficult task in the area of optical character recognition (OCR) because Arabic is a cursive type language. This paper proposes a hybrid Arabic character recognition system based on Moment Invariants employing an Artificial Neural Network classifier. The feature extraction stage uses a set of moment invariants descriptors which are invariants under shift, ... View full abstract»

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  • Arbitrarily shaped cell placement by three-layer self-organizing neural networks

    Publication Year: 1994, Page(s):399 - 402 vol.6
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (376 KB)

    In this paper, a three-layer self-organizing neural network is designed to resolve the cell placement problem with arbitrarily-shaped rectilinear cells. The proposed model with additional hidden layer can easily model the rectilinear cells by a set of hidden neurons which correspond to the partitioned rectangles of cells, called “molecule model”. With the collective computing property ... View full abstract»

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  • A simple and robust method for controlling chaotic systems

    Publication Year: 1994, Page(s):85 - 88 vol.6
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (280 KB)

    We consider a class of autonomous, continuous time, chaotic dynamical systems, the state equations of which can be represented in so-called Lur'e form. It is shown that the dynamic behaviour of such a system can be influenced in such a way that its state will reproduce any chosen periodic orbit being a solution. This kind of control can be achieved via injection of a single continuous time signal ... View full abstract»

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  • Nonlinear dynamics of chaotic double-loop sigma-delta modulation

    Publication Year: 1994, Page(s):101 - 104 vol.6
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (292 KB)

    The double-loop sigma-delta modulator is playing an increasingly important role in signal-processing applications, but this role is often hampered by the appearance of unwanted periodic signals in the modulator output. Operation in a chaotic regime has been suggested as a possible means of overcoming this disadvantage. For some parameter values, however, chaotic operation can lead to unbounded sta... View full abstract»

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  • Synchronization phenomena in RC oscillators coupled by one resistor

    Publication Year: 1994, Page(s):213 - 216 vol.6
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (220 KB)

    There have been many investigations of the mutual synchronization of oscillators. Especially, we have analyzed N van der Pol type LC oscillators coupled by one resistor, and confirmed that this system can take a huge number of steady states. In this study, we analyze N Wien-bridge oscillators with the same natural frequency mutually coupled by one resister by both of computer calculations and circ... 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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  • Behavioral testing of cellular neural networks

    Publication Year: 1994, Page(s):229 - 232 vol.6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (388 KB)

    This paper addresses the functional behavior of Cellular Neural Networks (CNN). The impact of variable convergence times on the proper operation of the network is discussed A test method is presented to determine the functionality of the network. The function fault models assume that the cells are unable to switch between limiting states. The proposed method attains 100% stuck-at fault coverage wi... View full abstract»

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  • Structural pattern compression and recognition by linear CNN

    Publication Year: 1994, Page(s):411 - 414 vol.6
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (328 KB)

    In this paper, a multi-layer pattern structural compression method, a method memorizing this pattern in a multi-layer weighted resister network and a method associating the memorized pattern are proposed. Simulation results show the efficiency of these methods View full abstract»

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  • Low power circuit techniques for generating kilovolt “staircase” waveforms

    Publication Year: 1994, Page(s):185 - 188 vol.6
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (272 KB)

    Two circuits are described which provide low power generation of high voltage “staircase” waveforms. Using power MOSFETs in a switching mode allows substantial power reduction and improved time domain response over linear amplifier drive circuits. Waveform characteristics can be accurately controlled at a low voltage point. Experimental results demonstrate operation to a 1 kV amplitude 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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  • An analogue CMOS defuzzification circuit with representation of triangular membership functions

    Publication Year: 1994, Page(s):495 - 498 vol.6
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (200 KB)

    An improved method of performing defuzzification has been identified, together with the realisation of this method using analogue current mode circuitry. The circuits are suitable for fabrication in a standard CMOS process. The defuzzification method is based on the Normalisation Locked Loop (NLL) method, with improvements to allow the processing of triangular membership functions whilst ensuring ... View full abstract»

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  • High speed analog filtering using feedforward neural network architectures

    Publication Year: 1994, Page(s):303 - 306 vol.6
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (308 KB)

    The design of analog filters has been a topic of research for many years, yielding a wide variety of techniques for addressing the problem. The work described here approaches this task from a neural network perspective to obtain some of the advantages of neural systems, such as a high tolerance to component imprecision and an ability to train or adapt high order structures. Investigations of linea... View full abstract»

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