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Analysis of the effectiveness of synthesis of computing devices for non-positional digital signal processing
Galanina Nataliya Andreevna

Doctor of Technical Science

Professor, Department of Mathematical and Hardware Information Systems, Ulyanov Chuvash State University

690088, Russia, Primorskii krai, g. Vladivostok, Partizanskii prospekt, 44

galaninacheb@mail.ru
Ivanova Nadezhda Nikolaevna

PhD in Technical Science

Associate Professor, Department of Mathematical and Hardware Information Systems, Ulyanov Chuvash State University

428015, Russia, Chuvashiya, g. Cheboksary, Moskovskii prosp., 15

naadeezdaa@rambler.ru

Abstract.

The article researches methods, algorithms and computing devices for encoding, digital filtering and spectral analysis of signals. The subject of the study is methods of synthesis and analysis of devices for signals digital filtration and spectral analysis in system of residual classes. The proposed article presents efficiency analysis of synthesis of computing devices for non-positional digital signal processing in the system of residual classes. The authors show results of comparative evaluation of performance of computing devices for digital filtering and spectral analysis. The authors propose a method of increasing the speed of digital devices in the system of residual classes. The research is based on the apparatus of mathematical analysis, mathematical logic, theory of algorithms, theory of algebraic integers, automata theory, the theory of the discrete Fourier transform and fast variations, probability theory, mathematical methods and simulation. The study presents ways of solving the problem of implementation of digital signal processing algorithms in system of residual classes on modern signal processors taking into account peculiarities of the system of residual classes. Implementation of digital devices on digital signal processor intended for data processing in non-positional number systems, including system of residual classes, is a promising line of development digital signal processing devices.

Keywords: fast Fourier transform, residue number system module, speed, digital signal processor, residue number system, digital signal processing, hardware expenses, spectrum analysis, service simulating test, nonpositional notation

DOI:

10.7256/2306-4196.2015.3.15354

Article was received:

22-05-2015


Review date:

23-05-2015


Publish date:

14-06-2015


This article written in Russian. You can find full text of article in Russian here .

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