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

Dettagli Bibliografici
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]
Autore principale: Kozhemyak O. A. Olesya Anatolievna
Ente Autore: Национальный исследовательский Томский политехнический университет Инженерная школа неразрушающего контроля и безопасности Отделение электронной инженерии
Altri autori: Stukach O. V. Oleg Vladimirovich, Soldatov A. I. Aleksey Ivanovich
Riassunto: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
Lingua:inglese
Pubblicazione: 2021
Soggetti:
Accesso online:https://doi.org/10.1007/978-3-030-68103-6_7
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665038
Descrizione
Riassunto: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