scholarly journals An Effective Method for e-Medical Data Compression Using Wavelet Analysis

2018 ◽  
Vol 6 (3) ◽  
pp. 25
Author(s):  
Ibrahim Abdulai Sawaneh
Keyword(s):  
Wavelet Analysis ◽  
Data Compression ◽  
Medical Data

A fast and efficient algorithm for volumetric medical data compression and retrieval

2007 ◽  
Author(s):  
Linning Ye ◽  
Jiangling Guo ◽  
Sunanda Mitra ◽  
Brian Nutter
Keyword(s):  
Data Compression ◽  
Efficient Algorithm ◽  
Medical Data

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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