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Proceedings ArticleDOI

Minimal multiplicative complexity and fast restoration algorithm of digital signals and images

Alexander M. Krot, +1 more
- 17 Jul 1998 - 
- Vol. 3374, pp 426-435
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TLDR
A fast algorithm of realizing a method of inverting a long liner convolution based on the procedure of sectionalization combined with effective real-valued split- radix fast Fourier transformation (FFT) algorithm for solving problems of restoration digital signals (images).
Abstract
A fast algorithm of realizing a method of inverting a long liner convolution is presented. It is based on the procedure of sectionalization combined with effective real-valued split- radix fast Fourier transformation (FFT) algorithm for solving problems of restoration digital signals (images). The minimal multiplicative complexity of such algorithm is obtained.

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Citations
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An express-reconstruction of distorted speech by inverse filtering method.

TL;DR: An express-reconstruction of distorted speech signals based on a fast filtering algoritlun for inverting linear convolution by sectioning method combined with effective realvalued split radix fast Fourier transform (FFT) algorithms are proposed.

An efficient method of speech signal reconstruction based on neural network and fast deconvolution algorithm.

TL;DR: A new method of speech signal restoration based on a well-known fast deconvolution algorithm and a modern neural network approach that inherits the adaptive capability from a neural network as well as the effective inverse filter calculation is proposed.
Proceedings ArticleDOI

Radar target detection - identification by multifrequency and fluctuating portraits in multifrequency radiation radars

TL;DR: The development of optimum statistical pattern recognition of a radar target by using fast digital processing procedures of regularly correlated portraits and Levinson's algorithm of matrix decomposition on the partial multiplicands are considered.
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