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  • 1. Vector quantization

    Publication Year: 1984, Page(s):4 - 29
    Cited by:  Papers (988)  |  Patents (98)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4155 KB)

    A vector quantizer is a system for mapping a sequence of continuous or discrete vectors into a digital sequence suitable for communication over or storage in a digital channel. The goal of such a system is data compression: to reduce the bit rate so as to minimize communication channel capacity or digital storage memory requirements while maintaining the necessary fidelity of the data. The mapping... View full abstract»

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  • 2. Continuous speech recognition using hidden Markov models

    Publication Year: 1990, Page(s):26 - 41
    Cited by:  Papers (35)  |  Patents (50)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1905 KB)

    The use of hidden Markov models (HMMs) in continuous speech recognition is reviewed. Markov models are presented as a generalization of their predecessor technology, dynamic programming. A unified view is offered in which both linguistic decoding and acoustic matching are integrated into a single, optimal network search framework. Advances in recognition architectures are discussed. The fundamenta... View full abstract»

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  • 3. An introduction to hidden Markov models

    Publication Year: 1986, Page(s):4 - 16
    Cited by:  Papers (761)  |  Patents (88)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7561 KB)

    The basic theory of Markov chains has been known to mathematicians and engineers for close to 80 years, but it is only in the past decade that it has been applied explicitly to problems in speech processing. One of the major reasons why speech models, based on Markov chains, have not been developed until recently was the lack of a method for optimizing the parameters of the Markov model to match o... View full abstract»

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  • 4. Beamforming: a versatile approach to spatial filtering

    Publication Year: 1988, Page(s):4 - 24
    Cited by:  Papers (957)  |  Patents (150)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2456 KB)

    An overview of beamforming from a signal-processing perspective is provided, with an emphasis on recent research. Data-independent, statistically optimum, adaptive, and partially adaptive beamforming are discussed. Basic notation, terminology, and concepts are included. Several beamformer implementations are briefly described.<> View full abstract»

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  • 5. An introduction to computing with neural nets

    Publication Year: 1987, Page(s):4 - 22
    Cited by:  Papers (2188)  |  Patents (264)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8358 KB)

    Artificial neural net models have been studied for many years in the hope of achieving human-like performance in the fields of speech and image recognition. These models are composed of many nonlinear computational elements operating in parallel and arranged in patterns reminiscent of biological neural nets. Computational elements or nodes are connected via weights that are typically adapted durin... View full abstract»

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  • 6. Applications of distributed arithmetic to digital signal processing: a tutorial review

    Publication Year: 1989, Page(s):4 - 19
    Cited by:  Papers (287)  |  Patents (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1321 KB)

    The history and fundamentals of distributed arithmetic (DA) are presented. Ways to increase the speed of DA multiplication are described. DA is applied to a biquadratic digital filter, providing an example of vector dot-product and vector-matrix-product mechanization. Applications to transformers and nonlinear and/or nonstationary processing with DA are discussed. It is seen that DA is a very effi... View full abstract»

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  • 7. Gauss and the history of the fast fourier transform

    Publication Year: 1984, Page(s):14 - 21
    Cited by:  Papers (23)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2279 KB)

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  • 8. Adaptive IIR filtering

    Publication Year: 1989, Page(s):4 - 21
    Cited by:  Papers (278)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1732 KB)

    An overview is presented of several methods, filter structures, and recursive algorithms used in adaptive infinite-impulse response (IIR) filtering. Both the equation-error and output-error formulations are described, although the focus is on the adaptive algorithms and properties of the output-error configuration. These parameter-update algorithms have the same generic form, and they are based on... View full abstract»

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  • 9. Quadrature mirror filter banks, M-band extensions and perfect-reconstruction techniques

    Publication Year: 1987, Page(s):4 - 20
    Cited by:  Papers (180)  |  Patents (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2913 KB)

    In this paper, quadrature mirror filters (QMF) are reviewed. After a brief introduction to multirate building blocks, the two-band QMF bank is discussed. Various distortions caused by the structure, and methods to eliminate these distortions are outlined. Perfect-reconstruction structures for the two-band case are reviewed, and the results are extended to the case of arbitrary number of channels. ... View full abstract»

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  • 10. VLSI Array processors

    Publication Year: 1985, Page(s):4 - 22
    Cited by:  Papers (71)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4193 KB)

    High speed signal processing depends critically on parallel processor technology. In most applications, general-purpose parallel computers cannot offer satisfactory real-time processing speed due to severe system overhead. Therefore, for real-time digital signal processing (DSP) systems, special-purpose array processors have become the only appealing alternative. In designing or using such array P... View full abstract»

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  • 11. Radar signal processing

    Publication Year: 1985, Page(s):2 - 18
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (10474 KB)

    A review of recent developments in radar signal processing in the presence of clutter is presented, with particular reference to an air-traffic environment. Two different signal processing issues are considered. The first issue relates to the adaptive suppression of clutter (of unknown statistics) and consequent enhancement of the echo produced by a moving target (e.g., aircraft). Here, several ad... View full abstract»

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  • 12. The arithmetic Fourier transform

    Publication Year: 1988, Page(s):13 - 17
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (620 KB)

    Preliminary results are presented on the VLSI design and implementation of a novel algorithm for accurate high-speed Fourier analysis and synthesis. The arithmetic Fourier transform (AFT) is based on the number-theoretic method of Mobius inversion. Its computations proceed in parallel, and the individual operations are very simple. Except for a small number of scalings in one state of the computat... View full abstract»

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  • 13. Einstein's 1914 paper on the theory of irregularly fluctuating series of observations

    Publication Year: 1987, Page(s):7 - 11
    Cited by:  Papers (2)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (562 KB)

    The author makes various observations on Albert Einstein's short note of 1914 ["Method for the determination of the statistical values of observations concerning quantities subject to irregular fluctuations," Arch. Sci. Phys. et Natur., 37, ser. 4, 254-56 (1914)] on methods of reducing fluctuating series of observations. He argues that it foreshadows the theory behind the Fast Fourier Transform (F... View full abstract»

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  • 14. Signal processing via least squares error modeling

    Publication Year: 1990, Page(s):12 - 31
    Cited by:  Papers (54)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1814 KB)

    The signal model presently considered is composed of a linear combination of basis signals chosen to reflect the basic nature believed to characterize the data being modeled. The basis signals are dependent on a set of real parameters selected to ensure that the signal model best approximates the data in a least-square-error (LSE) sense. In the nonlinear programming algorithms presented for comput... View full abstract»

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  • 15. Speaker recognition

    Publication Year: 1986, Page(s):4 - 17
    Cited by:  Papers (35)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2153 KB)

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  • 16. Fast adaptive filters: A geometrical approach

    Publication Year: 1986, Page(s):18 - 28
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1459 KB)

    This is a tutorial article on the application of geometrical vector space concepts for deriving the rapidly converging, reduced computation structures known as fast recursive least squares (RLS) adaptive filters. Since potential applications of fast RLS, such as speech coding [1] and echo, cancellation [2], have been previously examined in the ASSP Magazine, this article focuses instead on an intu... View full abstract»

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  • 17. Programmable DSP architectures. I

    Publication Year: 1988, Page(s):4 - 19
    Cited by:  Papers (61)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6343 KB)

    The architectural features of single-chip programmable digital signal processors (DSPs) are explored. The focus is on the most basic such feature, the integration of a hardware multiplier/accumulator into the data path, and a more subtle feature, the use of several (up to six) independent memory banks. These features are studied in terms of the performance benefit and the impact on the user. Repre... View full abstract»

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  • 18. The application of dynamic programming to connected speech recognition

    Publication Year: 1990, Page(s):6 - 25
    Cited by:  Papers (18)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2159 KB)

    Principles of dynamic programming and its application to discrete-utterance and connected-speech recognition are introduced and discussed. The deterministic form, used for template matching for connected speech, is described in detail, and a number of algorithms are examined. The Viterbi algorithm, which is a form of dynamic programming for a stochastic system, is briefly discussed.<> View full abstract»

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  • 19. Householder transforms in signal processing

    Publication Year: 1988, Page(s):4 - 12
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3331 KB)

    The author explores Householder transforms and their applications in signal processing. He shows that these transforms can be viewed as mirror-image reflections of a data vector about any desired hyperplane. The virtue of reflections is that they are covariance invariant, that is, they preserve the covariance matrix of the data. One can construct a finite sequence of such reflections that maps a b... View full abstract»

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  • 20. An inverse scattering framework for several problems in signal processing

    Publication Year: 1987, Page(s):6 - 20
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2565 KB)

    The aim of this paper is to show that a general inverse scattering formulation illuminates alternative, computationally efficient solution methods for several classes of signal processing problems. Inverse scattering problems arise in physics, transmission-line synthesis, geophysics and acoustics and in one class of formulations they require a procedure to determine the parameters of a layered wav... View full abstract»

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  • 21. Programmable DSP architectures. II

    Publication Year: 1989, Page(s):4 - 14
    Cited by:  Papers (41)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4123 KB)

    For pt.I see ibid., vol.5, no.4, p.4-19, Oct. 1988. Three distinct techniques are used for dealing with pipelining, namely, interlocking, time-stationary coding, and data-stationary coding, are examined. These techniques are studied in light of the performance benefit and the impact on the user. Representative DSPs from AT&T, Motorola, and Texas Instruments are used to illustrate the ideas and com... View full abstract»

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  • 22. Cochlear modeling

    Publication Year: 1985, Page(s):3 - 29
    Cited by:  Papers (39)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (13815 KB)

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  • 23. Processing of diagnostic ultrasound signals

    Publication Year: 1984, Page(s):19 - 26
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4846 KB)

    Ultrasound signals reflected from the human liver contain significant information about its condition. Several techniques have been developed to process such signals. In this paper, two approaches are described for estimating the slope of the acoustic attenuation coefficient, denoted by β, which provides important cues about the condition of diffuse liver disease. The first is a nonparametric... View full abstract»

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  • 24. Linear prediction, entropy and signal analysis

    Publication Year: 1984, Page(s):3 - 11
    Cited by:  Papers (5)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1917 KB)

    This paper reviews the fundamental concepts of Linear Prediction (LP) and Maximum Entropy (ME) spectral analysis, and elucidates the reasons for their practical importance in the world of real signals. Subsequently, the paper introduces the powerful principle of Minimum Cross-Entropy (MCE) spectral analysis. MCE permits the incorporation of prior information into signal analysis. In a new approach... View full abstract»

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  • 25. Method for the determinination of the statistical values of observations concerning quantities subject to irregular fluctuations

    Publication Year: 1987, Page(s): 6
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (90 KB)

    Albert Einstein introduces the concepts of the autocorrelation and cross-correlation functions and proves that automatic instruments can be devised for their experimental determination. However, the main point of the paper is that he introduces the concept of a power spectrum (without the use of this term, which - like "correlation function" and "stationary"- do not appear until much later) and el... View full abstract»

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Aims & Scope

This Magazine ceased production in 1990. The current retitled publication is IEEE Signal Processing Magazine.

Full Aims & Scope