49 research outputs found

    Laguerre-domain adaptive filters

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    Using a tapped-delay-line as an adaptive fitter, the complexity of the filter increases with increasing correlation length of input and reference signal. The author seeks simple adaptive filter structures such that for a long correlation length only a minor complexity of the filter is needed. He considers adaptive mechanisms governed by an exponentially weighted squared-error criterion. Laguerre-domain adaptive filters are introduced, which lead to a tapped IIR-filter line. These filters contain a discount factor as a free variable, which makes it possible to set the memory and the number of adaptive coefficients independently. Convergence properties of the proposed adaptive filters are discusse

    Unification of three linear models for the transient visual system

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    Three different linear filters are considered as a model describing the experimentally determined triphasic impulse responses of discs. These impulse responses arc associated with the transient visual system. Each model reveals a different feature of the system. Unification of the models is proposed. The resulting model exhibits all the features of the original models

    Linear and quadrature models for data from treshold measurements of the transient visual system

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    III this paper two models are considered for the transient visual system at threshold. One is a linear model and the other a model contain ing a quadrature element. Both models are commonly used on evidence from different experimental sources. It is shown that both models act in a similar fashion for the experiments using a perturbation technique as is the case at IPO. It is however possible to distinguish between these models in an experiment with a. perturbation technique using a statistical test. This test is discussed and pe.rformed and it is shown that it supports the linear and rejects the quadrature modeJ

    Optimality conditions for a specific class of Kautz series

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    Kautz functions constitute a basis in L2 and can be used for filter synthesis starting from a prescribed transient response. In a practical situation, only truncated series are used and thus the speed of convergence of such series is of importance. This convergence speed is a function of the parameters. The Kautz functions that are considered can be generated by a line of identical Nth-order allpass sections. The optimality conditions for the parameters of this specific class of truncated Kautz series are established solely on the basis of the orthonormality and the polynomial character of the basis function

    MODEL REDUCTION BY KAUTZ FILTERS

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    Publication in the conference proceedings of EUSIPCO, Trieste, Italy, 199
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