Filtered back-projection photoacoustic denoising reconstruction based on empirical mode decomposition

2020 ◽  
Author(s):  
Qinglin Kong ◽  
Huizhen Xu ◽  
Dongqing Peng
Keyword(s):  
Empirical Mode Decomposition ◽  
Back Projection ◽  
Filtered Back Projection ◽  
Mode Decomposition

BACK PROJECTION STRATEGY FOR SOLVING MODE MIXING PROBLEM

2012 ◽  
Vol 10 (04) ◽  
pp. 1250031
Author(s):  
XIYUAN HU ◽  
SILONG PENG ◽  
JIE TAN ◽  
WEIPING HU
Keyword(s):  
Empirical Mode Decomposition ◽  
Real Life ◽  
Data Driven ◽  
Back Projection ◽  
Mode Decomposition ◽  
Stationary Signals ◽  
Data Driven Approach ◽  
Projection Strategy ◽  
Mixing Problem ◽  
Mode Mixing

Empirical mode decomposition (EMD) is an adaptive and data-driven approach for analyzing multicomponent nonlinear and non-stationary signals. The mode-mixing problem is one of the most important topics for the improvement of the EMD algorithm. In this paper, we study the reasons of the mode mixing phenomenon. And then, we propose a new method to resolve this problem relying on the assumption that each IMF should be locally orthogonal to the others. We experiment on several signals, including simulated and real-life signals, to demonstrate the efficacy of the proposed method to resolve the mode mixing problem.

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