Detection of Low Frequency Pulse Signal in LSI Based on Deep Self Coding Algorithm

In order to detect the pulse of LSI with high accuracy and efficiency, a new detection method of low frequency pulse signal of LSI based on deep self coding algorithm is proposed in this paper. Firstly, Radon transform is used to reduce the dimension of the time-frequency diagram of the pulse signal...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Journal of physics. Conference series Ročník 2476; číslo 1; s. 12022 - 12027
Hlavný autor: Jin, LW
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bristol IOP Publishing 01.04.2023
Predmet:
Algorithms
Coders
Coding
Depth self coding algorithm
Fourier transforms
Integrated circuits
Large-scale integrated circuit
Low frequencies
Low frequency pulse signal
Physics
Radon transformation
Short time Fourier transform
Signal detection
ISSN:1742-6588, 1742-6596
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:In order to detect the pulse of LSI with high accuracy and efficiency, a new detection method of low frequency pulse signal of LSI based on deep self coding algorithm is proposed in this paper. Firstly, Radon transform is used to reduce the dimension of the time-frequency diagram of the pulse signal of the integrated circuit, and the short-time Fourier transform of the pulse signal is completed according to the Hamming window. Secondly, the principle of the depth self encoder is analyzed, and the pulse signal after the short time Fourier transform processing is input into the depth self encoder. Finally, according to the distance function, the gradient descent algorithm is used to update the parameters. Through iterative calculation, the detection of low frequency pulse signal of LSI is completed. The experimental results show that, compared with the traditional low-frequency pulse signal detection method, the detection accuracy of this method is greatly improved, up to 99.79%, and can shorten the overall detection time.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2476/1/012022