The study on information extraction of BGA solders joint 2-D morphology based on wavelet modulus maximum

2011 ◽  
Author(s):  
Wan Yuan ◽  
Zhou De-jian
Keyword(s):  
Information Extraction ◽  
Modulus Maximum ◽  
Wavelet Modulus Maximum

Wavelet-Based Filtering Method for Sleep EEG Signal

2011 ◽  
Vol 130-134 ◽  
pp. 2160-2165
Author(s):  
Hua Qiang ◽  
Rui Yang ◽  
Guo Dong Zhang
Keyword(s):  
Wavelet Transform ◽  
Wavelet Decomposition ◽  
Sleep Eeg ◽  
Signal Interference ◽  
Reconstruction Method ◽  
Threshold Method ◽  
Baseline Drift ◽  
Modulus Maximum ◽  
Common Signal ◽  
Wavelet Modulus Maximum

In this paper, in accordance with several common signal interference in sleep EEG detection, it is processed by wavelet transform. It mainly includes: ①.remove white noise from EEG using wavelet threshold method; ②.remove baseline drift from EEG using wavelet decomposition and reconstruction method; ③.remove sharp pulse interference using wavelet modulus maximum algorithm; ④.remove EMG from EEG using wavelet decomposition and reconstruction as well as modulus maximum method. The results of simulation study show that: it can filter a variety of common interference in EEG detection preferably by wavelet transform.

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