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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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 34; H. 3; S. 1395 - 1405
Hauptverfasser:	Wang, Boyang, Saniie, Jafar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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