Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders

Ultrasonic signal acquisition platforms generate considerable amounts of data to be stored and processed, especially when multichannel scanning or beamforming is employed. Reducing the mass storage and allowing high-speed data transmissions necessitate the compression of ultrasonic data into a repre...

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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 34; číslo 3; s. 1395 - 1405
Hlavní autoři:	Wang, Boyang, Saniie, Jafar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.03.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Acoustics Algorithms Beamforming Biomedical imaging Compression Compression ratio Convolution Convolutional autoencoder (CAE) Data compression Data models Data transmission Decoding Decomposition Image coding Image reconstruction Kernels Machine learning Medical imaging Nondestructive testing Radio frequency ultrasonic signals Ultrasonic testing unsupervised learning wavelet packet transformation (WPT)
ISSN:	2162-237X, 2162-2388, 2162-2388
On-line přístup:	Získat plný text
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