Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ http://cyberleninka....arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Технология цифровой обработки сигналов с использованием модулярного полиномиального кода

Технология цифровой обработки сигналов с использованием модулярного полиномиального кода

Abstract

The aim of research is а development to new technology of the digital processing signal (COS), which using allows, through the use of integer no positional mathematical model COS, provide speediest processing a signal in condition of the influence of the hindrances and refusal of the equipment. Increasing of requirements to the temporal characteristics of modern systems of COS led to the creation of computing devices (VU), using parallel computing. However, this raises the following problem: on the one hand, steady growth of requirements for high-speed characteristics of VU leads to the necessity of organization of parallel computations and on the other hand, this increases the frequency of occurrence of failures and increases downtime caused by the difficulty of finding fault. To solve this problem it is suggested to use a mathematical model of а COS that uses modular polynomial code (MPC), which is due to parallelization at the level of operations and processing of small category data allows not only to increase speed of calculations, and ensures obtaining the correct result in the conditions of influence of interference during transmission and equipment failure.

Целью исследований является разработка новой технологии цифровой обработки сигналов (ЦОС), применение которой позволяет, за счет использования целочисленной непозиционной математической модели ЦОС, обеспечить высокоскоростную обработку сигналов в условиях воздействия помех и отказа оборудования. Возрастание требований к временным характеристикам современных систем ЦОС привело к созданию вычислительных устройств (ВУ), использующих параллельные вычисления. Однако при этом возникает следующая проблема: с одной стороны, постоянный рост требований к скоростным характеристикам ВУ приводит к необходимости организации параллельных вычислений, а с другой стороны, при этом увеличивается частота возникновения отказов и возрастает время простоя, вызванное трудностью отыскания неисправности. Для решения данной проблемы в работе предлагается использовать математическую модель ЦОС, использующую модулярный полиномиальный код (МПК), который за счет распараллеливания на уровне операций и обработки малоразрядных данных позволяет не только увеличить скорость вычислений, но и обеспечивает получение корректного результата в условиях воздействия помех при передаче и отказа оборудования.

Keywords

ЦИФРОВАЯ ОБРАБОТКА СИГНАЛОВ, ОРТОГОНАЛЬНЫЕ ПРЕОБРАЗОВАНИЯ СИГНАЛОВ В КОЛЬЦЕ ПОЛИНОМОВ, МОДУЛЯРНЫЙ ПОЛИНОМИАЛЬНЫЙ КОД, КОРРЕКЦИЯ ОШИБКИ, ПОЗИЦИОННЫЕ ХАРАКТЕРИСТИКИ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average