Nonlinear method and apparatus for coding and decoding acoustic signals with data compression and noise suppression using cochlear filters, wavelet analysis, and irregular sampling reconstruction

1995 ◽  
Vol 98 (3) ◽  
pp. 1265-1265
Author(s):  
John J. Benedetto ◽  
Anthony Teolis
Keyword(s):  
Wavelet Analysis ◽  
Data Compression ◽  
Noise Suppression ◽  
Acoustic Signals ◽  
Irregular Sampling ◽  
Nonlinear Method

Wavelet Analysis of Partial Discharge Acoustic Signals in a Model Transformer

2003 ◽  
Vol 42 (Part 1, No. 8) ◽  
pp. 5347-5352 ◽  
Author(s):  
Aloys O. Akumu ◽  
Hajime Masai ◽  
Futoshi Adachi ◽  
Ryotaro Ozaki ◽  
Haruo Ihori ◽  
...  
Keyword(s):  
Wavelet Analysis ◽  
Partial Discharge ◽  
Acoustic Signals

Apple near Infrared Spectral Preprocessed Based on Wavelet Analysis

2014 ◽  
Vol 926-930 ◽  
pp. 1775-1778 ◽  
Author(s):  
Min Li ◽  
Qiang Jiang ◽  
Xiao Ying Zhang ◽  
Li Qun Chen
Keyword(s):  
Wavelet Analysis ◽  
Data Compression ◽  
Model Prediction ◽  
Near Infrared ◽  
Noise Removal ◽  
Analysis Method ◽  
Wavelet Method ◽  
Scattering Correction ◽  
Data Pretreatment ◽  
Infrared Spectral

The original near infrared spectral (NIR) inevitably includes noise signals and usually has a large amount of data. So de-noising and compression are the main tasks of spectral data pretreatment, in order to improve the accuracy of model prediction and modeling speed. Traditional spectral pretreatment methods have their own limitations in these two aspects. In this paper, the wavelet analysis method was applied to preprocess apple NIR data. Compared with Savitzky-Golay smoothing method and multiple scattering correction , the wavelet method has its own superiority in noise removal and data compression.

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