Nonstationary natural media analysis from polarimetric SAR data using a two-dimensional time-frequency decomposition approach

2005 ◽  
Vol 31 (1) ◽  
pp. 21-29 ◽  
Author(s):  
L. Ferro-Famil ◽  
A. Reigber ◽  
E. Pottier
Keyword(s):  
Media Analysis ◽  
Two Dimensional ◽  
Polarimetric Sar ◽  
Decomposition Approach ◽  
Time Frequency ◽  
Frequency Decomposition ◽  
Sar Data ◽  
Natural Media

Myoelectric signal classification based on S transform and two-directional two-dimensional principal component analysis

2017 ◽  
Vol 40 (7) ◽  
pp. 2387-2395 ◽  
Author(s):  
Yi Ji ◽  
Hong-Bo Xie
Keyword(s):  
Principal Component Analysis ◽  
Feature Extraction ◽  
Computational Cost ◽  
Principal Component ◽  
Component Analysis ◽  
Two Dimensional ◽  
Time Frequency ◽  
Frequency Decomposition ◽  
S Transform ◽  
Efficiency And Effectiveness

Time-frequency representiation has been intensively employed for the analysis of biomedical signals. In order to extract discriminative information, time-frequency matrix is often transformed into a 1D vector followed by principal component analysis (PCA). This study contributes a two-directional two-dimensional principal component analysis (2D2PCA)-based technique for time-frequency feature extraction. The S transform, integrating the strengths of short time Fourier transform and wavelet transform, is applied to perform the time-frequency decomposition. Then, 2D2PCA is directly conducted on the time-frequency matrix rather than 1D vectors for feature extraction. The proposed method can significantly reduce the computational cost while capture the directions of maximal time-frequency matrix variance. The efficiency and effectiveness of the proposed method is demonstrated by classifying eight hand motions using 4-channel myoelectric signals recorded in health subjects and amputees.

scholarly journals Ship Discrimination Using Polarimetric SAR Data and Coherent Time-Frequency Analysis

2013 ◽  
Vol 5 (12) ◽  
pp. 6899-6920 ◽  
Author(s):  
Canbin Hu ◽  
Laurent Ferro-Famil ◽  
Gangyao Kuang
Keyword(s):  
Frequency Analysis ◽  
Polarimetric Sar ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Sar Data
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