Machine Learning and Modeling of Ultrasonic Signals for High-Fidelity Data Compression

Ultrasonic systems are widely used in imaging applications for non-destructive evaluation, quality assurance, and medical diagnosis. These applications require large volumes of data to be processed, stored, and/or transmitted in real time. It is essential to compress the ultrasonic RF signal without...

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Vydané v:	IEEE International Ultrasonics Symposium (Online) s. 1 - 9
Hlavní autori:	Saniie, Jafar, Govindan, Pramod, Wang, Boyang, Zhang, Xin, Lu, Yufeng, Oruklu, Erdal
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 10.10.2022
Predmet:	Analytical models Chirp Computational modeling Data compression Machine learning Machine learning algorithms Three-dimensional displays
ISSN:	1948-5727
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