scholarly journals Sharpness Measure Based on the Frequency Domain Information

2011 ◽  
Vol 16 (3) ◽  
pp. 552-560
Author(s):  
Hyun-Soo Choi ◽  
Chul-Hee Lee
Keyword(s):  
Frequency Domain ◽  
Domain Information

scholarly journals Modelling of Material Properties Using Frequency Domain Information from Barkhausen Noise Signal

2015 ◽  
Vol 48 (17) ◽  
pp. 201-206
Author(s):  
Riku-Pekka Nikula ◽  
Aki Sorsa ◽  
Suvi Santa-aho ◽  
Minnamari Vippola ◽  
Kauko Leiviskä
Keyword(s):  
Frequency Domain ◽  
Material Properties ◽  
Noise Signal ◽  
Barkhausen Noise ◽  
Domain Information

Comparative Visual Displays of Time and Frequency Domain Information in Connected Speech

1974 ◽  
Vol 55 (2) ◽  
pp. 412-412
Author(s):  
Janet M. Baker ◽  
Robert Ramsey ◽  
Mark Miller ◽  
James K. Baker ◽  
Christopher Cooper
Keyword(s):  
Frequency Domain ◽  
Visual Displays ◽  
Connected Speech ◽  
Domain Information

scholarly journals An Application of Time-Frequency-Based Analysis Method for Identifying Bolt Anchorage System

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
H. Q. Zheng ◽  
Y. Zhang ◽  
G. Han ◽  
X. Y. Sun
Keyword(s):  
Frequency Domain ◽  
Time Domain ◽  
Identification Accuracy ◽  
Analysis Method ◽  
Defect Identification ◽  
Time Frequency ◽  
Reinforcing Bar ◽  
Anchorage System ◽  
Convolution Kernels ◽  
Domain Information

A rock bolt refers to a reinforcing bar used commonly in geotechnical engineering. Also, defect identification of bolt anchorage system determines the safe operation of the reinforced structures. In the present paper, to accurately extract defect information, a CNN model based on time-frequency analysis is proposed, covering both time-domain and frequency-domain information. The effect of the number of convolution kernels on the defect identification results is discussed. By laboratory experiments, the performances of STFT-based CNN with those of time-domain input or frequency-domain input-based 1D CNN are compared, and the results demonstrate that the proposed method showed enhanced performance in identification accuracy.

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