Pitch determination of noisy speech using wavelet transform in time and frequency domains

Author(s):  
Lunji Qiu ◽  
Soo-Ngee Koh ◽  
Haiyun Yang
Author(s):  
Zhengjia He ◽  
Yanyang Zi ◽  
Peng Chen ◽  
Toshio Toyota

Abstract Wavelet transform decomposes signals in both time and frequency domains. According to the principle of multi-resolution, irregularities or complexities of decomposed signals in various frequency bands are different, which can indicate mechanical fault. Fractal dimension of decomposed signal is an excellent factor to express the irregularity or complexity. It can make features of mechanical faults remarkable. Based on wavelet fractal dimension, successful diagnosis of looseness fault of bearing bridge for 50MW turbo-generator was obtained.


2015 ◽  
Vol 135 (12) ◽  
pp. 1565-1573
Author(s):  
Yoshitaka Ohshio ◽  
Daisuke Ikefuji ◽  
Yuko Suhara ◽  
Masato Nakayama ◽  
Takanobu Nishiura

Author(s):  
Włodzimierz Pogribny ◽  
Marcin Drzycimski ◽  
Zdzisław Drzycimski

2021 ◽  
Vol 291 ◽  
pp. 116721
Author(s):  
Han Li ◽  
Zhe Wang ◽  
Tianzhen Hong ◽  
Andrew Parker ◽  
Monica Neukomm

1995 ◽  
Vol 381 (1-2) ◽  
pp. 1-4 ◽  
Author(s):  
S. Feliu ◽  
J.C. Galvan ◽  
S. Feliu ◽  
J. Simancas ◽  
J.M. Bastidas ◽  
...  

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