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IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing

Issue 6 • Date Jun 1998

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Displaying Results 1 - 16 of 16
  • A compact neural network for VLSI PRML detectors: scalable architecture

    Publication Year: 1998, Page(s):709 - 719
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    Very large scale integration (VLSI) compact neural network architecture for maximum-likelihood detector of partial response (PR) communication receivers is presented. The compact neural network approach has many attractive advantages in achieving low power, low cost, compact chip area, and faster processing speed by its loosely coupled parallel processing nature. In this paper, the design of a sta... View full abstract»

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  • Optimized frequency-shaping circuit topologies for LDOs

    Publication Year: 1998, Page(s):703 - 708
    Cited by:  Papers (73)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (128 KB)

    Typical low drop-out (LDO) regulator architectures suffer from an inherent load regulation performance limitation. This limitation manifests itself through limited DC open-loop gain, and results from stringent closed-loop bandwidth requirements. The frequency response of the system is highly sensitive to the loading conditions, thereby making proper compensation a laborious endeavor. This paper di... View full abstract»

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  • Bounding the integrator outputs of second-order sigma-delta modulators

    Publication Year: 1998, Page(s):691 - 702
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB)

    The development to date of the bounds for the outputs of the integrators of second-order sigma-delta modulators has relied on a mixture of theoretical analysis and extensive use of simulation. This paper presents a new approach that analyzes the behavior of such systems, and identifies the external boundaries of the trapping region for the outputs of the integrators. With this approach, it is poss... View full abstract»

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  • Improved two-step clock-feedthrough compensation technique for switched-current circuits

    Publication Year: 1998, Page(s):739 - 743
    Cited by:  Papers (8)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (180 KB)

    A new clock-feedthrough compensation scheme for switched-current circuits is proposed. The scheme is especially suited for the design of delay lines for high-frequency operation. The circuit operates by using an improved two-step technique, in which the input is sampled in a parallel combination of a coarse and a fine memory transistor. Since both transistors are of the same type, large switching ... View full abstract»

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  • Fast DFT algorithms for length N=q*2m

    Publication Year: 1998, Page(s):685 - 690
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (220 KB)

    This paper presents a general split-radix algorithm which can flexibly compute the discrete Fourier transforms (DFT) of length q*2m where q is an odd integer. Comparisons with previously reported algorithms show that substantial savings on arithmetic operations can be made. Furthermore, a wider range of choices on different sequence lengths is naturally provided View full abstract»

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  • Learning and retrieving spatio-temporal sequences with any static associative neural network

    Publication Year: 1998, Page(s):729 - 738
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (212 KB)

    The purpose of the present paper is to report on the design of a general system that is capable of learning and retrieving spatio-temporal sequences using any static associative neural networks (ANNs), including both autoassociative and heteroassociative neural networks. This artificial neural system has three major components: a voting network, a parallel array of ANN's, and delayed feedback line... View full abstract»

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  • An IIR adaptive filter based on estimation of all-pass system

    Publication Year: 1998, Page(s):676 - 684
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    In this paper, an IIR adaptive filter based on the estimation of the all-pass system is proposed. First, the unknown system is represented as a cascade of an all-pass system and a minimum phase system. The structure of the IIR adaptive filter is also a cascade of the all-pass and the transversal adaptive filter. Next, the adaptive algorithm that has an updating value which is the correlation of th... View full abstract»

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  • A unified approach to class E versus quasi-resonant switch topologies

    Publication Year: 1998, Page(s):763 - 766
    Cited by:  Papers (5)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (112 KB)

    A generalized methodology of achieving class E versus quasi-resonant (QR) switching is introduced, and the associated resonant switch topologies are analyzed, with the conclusion that class E operation can be achieved for a given switching edge if the respective current or voltage is continuously differentiable (C1) through the switching instant. This concept is applied to show how the ... View full abstract»

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  • A complex optimal signal-processing algorithm for frequency-stepped CW data

    Publication Year: 1998, Page(s):754 - 757
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (156 KB)

    We derive a complex nonlinear optimal signal-processing algorithm for estimating target ranges from a set of frequency-stepped continuous wave (FSCW) measurements. It is a generalization of a prior optimization algorithm in that the reflection amplitudes are modeled as phasors rather than real-valued scalars. The algorithm solves this nonlinear problem by separating it into its linear and nonlinea... View full abstract»

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  • Classical conditioning with pulsed integrated neural networks: circuits and system

    Publication Year: 1998, Page(s):720 - 728
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    In this paper, we investigate on-chip learning for pulsed, integrated neural networks. We discuss the implementational problems the technology imposes on learning systems, and we find that a biologically inspired approach using simple circuit structures is most likely to bring success. We develop a suitable learning algorithm-a continuous-time version of a temporal differential Hebbian learning al... View full abstract»

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  • Error analysis of FIR filters implemented using logarithmic arithmetic

    Publication Year: 1998, Page(s):744 - 747
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (148 KB)

    The principal factors influencing the design and implementation of most real-time digital filters are accuracy, speed, and ease of implementation. In this work, the effects of roundoff noise in finite-impulse response (FIR) digital filters implemented using a logarithmic number system are examined. Expressions for the ratio of output variance with roundoff errors to output variance without roundof... View full abstract»

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  • Discrete fractional Hartley and Fourier transforms

    Publication Year: 1998, Page(s):665 - 675
    Cited by:  Papers (43)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    This paper is concerned with the definitions of the discrete fractional Hartley transform (DFRHT) and the discrete fractional Fourier transform (DFRFT). First, the eigenvalues and eigenvectors of the discrete Fourier and Hartley transform matrices are investigated. Then, the results of the eigendecompositions of the transform matrices are used to define DFRHT and DFRFT. Also, an important relation... View full abstract»

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  • Noise analysis of a class of oscillators

    Publication Year: 1998, Page(s):757 - 760
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB)

    This paper presents noise analysis of a class of oscillators, which can be modeled by a positive feedback system with a frequency-selective Mth-order filter, an ideal comparator, and a white noise source. An explicit analytical expression for the output power spectral density is derived. A simplified expression is obtained for a special case when the Mth-order filter is replaced by a second-order ... View full abstract»

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  • On the dynamics of discrete-time, continuous-state Hopfield neural networks

    Publication Year: 1998, Page(s):747 - 749
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (104 KB)

    We propose answers to four open problems listed recently by Koiran (see Neural Computing, vol. 6, p. 459-68, 1994) on the dynamics of discrete-time, continuous-state Hopfield neural networks View full abstract»

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  • IIR digital filter design using minimum adder multiplier blocks

    Publication Year: 1998, Page(s):761 - 763
    Cited by:  Papers (16)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (72 KB)

    Traditional methods for the design of fixed-point IIR filters suggest the use of wave filters to reduce complexity. The application of multiplier blocks, which exploit redundancy across the coefficients, changes the relationships between structures such that the cascade structure is most efficient. The use of variable wordlength methods results in further complexity reduction View full abstract»

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  • A fast training algorithm for neural networks

    Publication Year: 1998, Page(s):749 - 753
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (168 KB)

    The recursive least squares method (RLS) is derived for the learning of multilayer feedforward neural networks. Simulation results on the XOR, 4-2-4 encoder, and function approximation problems indicate a fast learning process in comparison to the classical and momentum backpropagation (BP) algorithms View full abstract»

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Aims & Scope

This title ceased production in 2003. The current updated title is IEEE Transactions on Circuits and Systems II: Express Briefs.

Full Aims & Scope