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Third Symposium on Adaptive Processes

19-21 Oct. 1964

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Displaying Results 1 - 13 of 13
  • Third Symposium on Adaptive Processes [Front cover and table of contents]

    Publication Year: 1964, Page(s): c1
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  • On the relative time of adaptive processes

    Publication Year: 1964, Page(s):3 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (611 KB)

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  • On the structural properties of some discrete time adaptive control systems

    Publication Year: 1964, Page(s):17 - 26
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (575 KB)

    This paper develops some of the basic properties of a particular type of adaptive control process. Because of the ambiguity which surrounds the adjective "adaptive", the essential property which characterizes this class of adaptive control problems is considered in detail. The usual type of performance criterion does not provide a satisfactory ordering of the control policies in these problems. Th... View full abstract»

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  • Optimum control of an unknown linear plant using Bayesian estimation of the error

    Publication Year: 1964, Page(s):27 - 47
    Cited by:  Papers (2)
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  • A sequential decision approach to problems in pattern recognition and learning

    Publication Year: 1964, Page(s):48 - 71
    Cited by:  Papers (6)
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    This study is concerned with the problems in pattern recognition when input observations are taken sequentially with a proper stopping rule. The fact that sequential decision procedures (sequential probability ratio test and generalized sequential probability ratio test) can reduce the average risk in a monotonic fashion implies the gradual improvement of system performance during operation. The f... View full abstract»

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  • A communication system with adaptive decoding

    Publication Year: 1964, Page(s):72 - 85
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (592 KB)

    This paper presents the results of a study of adaptive communication systems in which the "learning" is based on Bayes' Theorem. The learning is then used to guide adaptation whose purpose is to optimize system performance. Performance is evaluated by a measure based on decision theory. The communication system model used is a binary symmetric channel where "r" denotes the probability of correct t... View full abstract»

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  • Identification of linear dynamic systems

    Publication Year: 1964, Page(s):86 - 101
    Cited by:  Papers (3)
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    A real time computational method is presented for the identification of linear discrete dynamic systems with unknown parameters. It is shown that the method is globally convergent to the true parameters in a stochastic environment. Experimental simulation of second and fourth-order systems further affirms the practicality of the method. View full abstract»

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  • A class of adaptive matched digital filters

    Publication Year: 1964, Page(s):102 - 115
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (603 KB)

    An adaptive digital matched filter structure is developed for the case where the input signal is of known form and finite duration and the input noise has a power spectral density which is all-pole. The effect of noise spectrum identification errors on system performance is investigated both theoretically and experimentally. It is shown that, when the noise is highly correlated, the adapting struc... View full abstract»

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  • Analysis of training algorithms for a class of self-organizing systems

    Publication Year: 1964, Page(s):116 - 127
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  • An approach to the design of nonlinear discrete self-optimizing systems

    Publication Year: 1964, Page(s):128 - 150
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  • A theory of adaptive systems

    Publication Year: 1964, Page(s): 151
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    This paper presents a survey of some recent results in the theory of adaptive decision making systems. When the statistics describing a given observation are completely known a decision rule merely provides a fixed mapping from the observation space to the space of possible actions. When the statistics are unknown, however, it is possible to employ a sequence of observations in order to improve th... View full abstract»

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  • A theory of adaptive compression

    Publication Year: 1964, Page(s): 152
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    The analysis of a data compression system of the adaptive prediction-comparison type is presented. The compression attainable as a function of the process spectral density, the adaptive predictor learning period, and the portion of the past used in the prediction process is investigated for a stationary Gaussian Time series. View full abstract»

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  • [Back cover]

    Publication Year: 1964, Page(s): c4
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    Freely Available from IEEE