A Modified BP Algorithm for LDPC Decoding Based on Minimum Mean Square Error Criterion

2010 ◽  
Vol E93-B (5) ◽  
pp. 1256-1259 ◽  
Author(s):  
Meng XU ◽  
Xincun JI ◽  
Jianhui WU ◽  
Meng ZHANG
Keyword(s):  
Mean Square Error ◽  
Minimum Mean Square Error ◽  
Bp Algorithm ◽  
Mean Square ◽  
Error Criterion ◽  
Ldpc Decoding ◽  
Mean Square Error Criterion

Performance analysis of global local mean square error criterion of stochastic linearization for nonlinear oscillator

2019 ◽  
Author(s):  
Nguyen Cao Thang ◽  
Luu Xuan Hung
Keyword(s):  
Performance Analysis ◽  
Mean Square Error ◽  
Nonlinear Oscillators ◽  
Degree Of Freedom ◽  
Equivalent Linearization ◽  
Mean Square ◽  
Error Criterion ◽  
Stochastic Linearization ◽  
Local Mean ◽  
Mean Square Error Criterion

The paper presents a performance analysis of global-local mean square error criterion of stochastic linearization for some nonlinear oscillators. This criterion of stochastic linearization for nonlinear oscillators bases on dual conception to the local mean square error criterion (LOMSEC). The algorithm is generally built to multi degree of freedom (MDOF) nonlinear oscillators. Then, the performance analysis is carried out for two applications which comprise a rolling ship oscillation and two degree of freedom one. The improvement on accuracy of the proposed criterion has been shown in comparison with the conventional Gaussian equivalent linearization (GEL).

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