Simulation Study of an Ultrasonic Signal Compression

Autor:	O. A. Kozhemyak, A. I. Soldatov, Oleg V. Stukach
Rok vydání:	2021
Předmět:	Approximation error Compression (functional analysis) Quantization (signal processing) Compression ratio Signal compression Ultrasonic sensor Data_CODINGANDINFORMATIONTHEORY Signal Time complexity Algorithm Mathematics
Zdroj:	Progress in Material Science and Engineering ISBN: 9783030681029
DOI:	10.1007/978-3-030-68103-6_7
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fd372f1df28501cdc122db738eacdaeb https://doi.org/10.1007/978-3-030-68103-6_7 Zobrazit plný text záznamu