This paper explores novel techniques involving number theoretic concepts to perform real-time digital signalprocessing for high bandwidth data stream applications in digital signalprocessing. Often the arithmetic ma...
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ISBN:
(纸本)081940943X
This paper explores novel techniques involving number theoretic concepts to perform real-time digital signalprocessing for high bandwidth data stream applications in digital signalprocessing. Often the arithmetic manipulations are simple in form (cascades of additions and multiplications in a well defined structure) but the numbers of operations that have to be computed every second can be large. This paper discusses ways in which new number theoretic mapping techniques can be used to perform DSP operations by both reducing the amount of hardware involved in the circuitry and by allowing the construction of very benign architectures down to the individual cells. Such architectures can be used in aggressive VLSI/ULSI implementations. We restrict ourselves to the computation of linear filter and transform algorithms, with the inner product form, which probably account for the vast majority of digital signalprocessing functions implemented commercially.
This paper presents modifications of the continuous Hopfield and Hartline-Ratliff networks for use in signal restoration and parameter estimation. The particular parameter estimation problem of interest is concerned w...
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ISBN:
(纸本)081940943X
This paper presents modifications of the continuous Hopfield and Hartline-Ratliff networks for use in signal restoration and parameter estimation. The particular parameter estimation problem of interest is concerned with the estimation of the directions of arrival of an unknown number of plane waves in unknown noise. Restoration of linearly distorted noisy images is considered as an example of regularized restoration of a signal with known dynamic range.
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