Simulation Study of an Ultrasonic Signal Compression: Chap.; Progress in Material Science and Engineering; Vol. 351 : Studies in Systems, Decision and Control (SSDC)

Simulation Study of an Ultrasonic Signal Compression, Chap.

Dades bibliogràfiques
Parent link:Progress in Material Science and Engineering/ eds. I. V. Minin, S. Uchaikin, A. Rogachev, O. Stary
Vol. 351 : Studies in Systems, Decision and Control (SSDC).— 2021.— [P. 69-79]
Autor principal: Kozhemyak O. A. Olesya Anatolievna
Autor corporatiu: Национальный исследовательский Томский политехнический университет Инженерная школа неразрушающего контроля и безопасности Отделение электронной инженерии
Altres autors: Stukach O. V. Oleg Vladimirovich, Soldatov A. I. Aleksey Ivanovich
Sumari:Title screen
The paper presents three algorithms of an ultrasonic signal compressing. First one is a compression with linear time quantization. Second algorithm of signal compression calculates the rate of signal change and proportionally to it sets the sampling rate. Third algorithm of compression takes some number of random uniformly distributed samples from the original ultrasonic signal. The results of simulations for all three compressing algorithms are presented in the paper. An absolute error and mean square deviations for a wide range of compression ratios are calculated and compared for different compressing algorithms.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:anglès
Publicat: 2021
Matèries:
электронный ресурс
труды учёных ТПУ
Accés en línia:https://doi.org/10.1007/978-3-030-68103-6_7
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665038
Descripció
Sumari:Title screen
The paper presents three algorithms of an ultrasonic signal compressing. First one is a compression with linear time quantization. Second algorithm of signal compression calculates the rate of signal change and proportionally to it sets the sampling rate. Third algorithm of compression takes some number of random uniformly distributed samples from the original ultrasonic signal. The results of simulations for all three compressing algorithms are presented in the paper. An absolute error and mean square deviations for a wide range of compression ratios are calculated and compared for different compressing algorithms.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.1007/978-3-030-68103-6_7

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