scholarly journals Investigating Spectral Amplitude Modulation Phase Hierarchy Features in Speech Synthesis

2016 ◽  
Author(s):  
Alexandros Lazaridis ◽  
Milos Cernak ◽  
Pierre-Edouard Honnet ◽  
Philip N. Garner
Keyword(s):  
Amplitude Modulation ◽  
Speech Synthesis ◽  
Spectral Amplitude ◽  
Modulation Phase

Spectral amplitude modulation and dynamic near-field displaying of all-silicon terahertz metasurfaces supporting bound states in the continuum

2021 ◽  
Vol 119 (24) ◽  
pp. 241105
Author(s):  
Jitao Li ◽  
Jie Li ◽  
Chenglong Zheng ◽  
Zhen Yue ◽  
Dingyu Yang ◽  
...  
Keyword(s):  
Amplitude Modulation ◽  
Bound States ◽  
Near Field ◽  
Spectral Amplitude ◽  
The Continuum

A role for amplitude modulation phase relationships in speech rhythm perception

2014 ◽  
Vol 136 (1) ◽  
pp. 366-381 ◽  
Author(s):  
Victoria Leong ◽  
Michael A. Stone ◽  
Richard E. Turner ◽  
Usha Goswami
Keyword(s):  
Amplitude Modulation ◽  
Rhythm Perception ◽  
Speech Rhythm ◽  
Phase Relationships ◽  
Modulation Phase

Fault diagnosis of rolling bearings based on improved direct fast iterative filtering and spectral amplitude modulation

2022 ◽  
pp. 095440622110556
Author(s):  
Xianyou Zhong ◽  
Quan Mei ◽  
Xiang Gao ◽  
Tianwei Huang
Keyword(s):  
Amplitude Modulation ◽  
Fitness Function ◽  
Spectral Amplitude ◽  
Rolling Bearings ◽  
Fault Features ◽  
Reconstructed Signal ◽  
Fixed Parameter ◽  
Novel Method ◽  
Iterative Filtering ◽  
Envelope Spectrum

As the transient impulse components in early fault signals are weak and easily buried by strong background noise, the fault features of rolling bearings are difficult to be extracted effectively. Focusing on this issue, a novel method based on improved direct fast iterative filtering and spectral amplitude modulation (IDFIF-SAM) is presented for detecting the early fault of rolling bearings. First, the ratio of the average crest factor of autocorrelation envelope spectrum to the average envelope entropy is taken as the fitness function to search the optimal parameters of direct fast iterative filtering (DFIF) adaptively via particle swarm optimization (PSO). Then, the efficient kurtosis entropy (EKE) index is being employed to choose the suitable components to reconstruct the signal. Finally, the reconstructed signal is subjected to spectral amplitude modulation (SAM) to strengthen the impulse features. The superiority of improved direct fast iterative filtering (IDFIF) over fixed-parameter DFIF, fast iterative filtering (FIF), and hard thresholding fast iterative filtering (HTFIF) is clarified through the simulated signal. Moreover, the comparative experimental analysis shows that the proposed IDFIF-SAM method can identify the early fault feature of rolling bearings more effectively.

Beam Splitting Amplitude Modulation Phase Retrieval Imaging

2018 ◽  
Vol 38 (9) ◽  
pp. 0911002
Author(s):  
何西 He Xi ◽  
刘诚 Liu Cheng ◽  
朱健强 Zhu Jianqiang
Keyword(s):  
Amplitude Modulation ◽  
Phase Retrieval ◽  
Beam Splitting ◽  
Modulation Phase

scholarly journals Digital Q-Control and Automatic Probe Landing in Amplitude Modulation Phase Imaging AFM Mode

2017 ◽  
Vol 50 (1) ◽  
pp. 10882-10888 ◽  
Author(s):  
Sergey Belikov ◽  
John Alexander ◽  
Marko Surtchev ◽  
Sergei Magonov
Keyword(s):  
Amplitude Modulation ◽  
Phase Imaging ◽  
Modulation Phase

scholarly journals Ultrabroadband spectral amplitude modulation using a liquid crystal spatial light modulator with ultraviolet-to-near-infrared bandwidth

2010 ◽  
Vol 49 (3) ◽  
pp. 350 ◽  
Author(s):  
Jiangfeng Zhu ◽  
Takashi Tanigawa ◽  
Tao Chen ◽  
Shaobo Fang ◽  
Keisaku Yamane ◽  
...  
Keyword(s):  
Liquid Crystal ◽  
Amplitude Modulation ◽  
Spatial Light Modulator ◽  
Near Infrared ◽  
Spectral Amplitude ◽  
Light Modulator
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