Research on Ultrasonic Data Compression Method Based on Generating Countermeasure Network
In recent years,industrial ultrasonic testing in China has developed rapidly,covering almost all industrial fields.However,with the continuous development of ultrasonic testing,the amount of data in ultrasonic testing has also become increasing-ly large,which has caused certain difficulties for data transmission and storage.In response to the above issues,this paper uses a new network framework that combines convolutional neural networks,short-term memory networks,and generating confrontation networks to extract,encode,and transmit ultrasonic data.At the receiver,generating confrontation networks are used to reconstruct compressed data,achieving a higher compression ratio than traditional ultrasonic data compression methods,while ensuring a high degree of restoration.Thereby reducing the load during data transmission and storage.Simulation results show that this method can achieve a lower compression rate than traditional compression methods,while ensuring a higher degree of restoration.
国家科技期刊平台
NSTL
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