Variable-step-size multimodulus blind decision-feedback equalization for high-order QAM based on boundary MSE estimation

Author(s):  
Kun-Chien Hung ◽  
D.W. Lin ◽  
Chun-Nan Ke
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qiang Han

For backward stochastic differential equations (BSDEs), we construct variable step size Adams methods by means of Itô–Taylor expansion, and these schemes are nonlinear multistep schemes. It is deduced that the conditions of local truncation errors with respect to Y and Z reach high order. The coefficients in the numerical methods are inferred and bounded under appropriate conditions. A necessary and sufficient condition is given to judge the stability of our numerical schemes. Moreover, the high-order convergence of the schemes is rigorously proved. The numerical illustrations are provided.


Author(s):  
Alberto Carini ◽  
Markus V. S. Lima ◽  
Hamed Yazdanpanah ◽  
Simone Orcioni ◽  
Stefania Cecchi

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