基于C MEX S函数的盲源分离仿真研究

在分析基于最大信噪比盲源分离算法数学模型的基础上,利用C语言编写S函数,并提出了基于最大信噪比盲源分离系统仿真建模的方法.在Matlab/Simulink中,构造C MEX S函数的简化结构,建立独立功能的模块(如中心化模块、白化处理模块、基于最大信噪比分离模块及后处理的排序模块等),再对各个功能模块进行有机的结合,从而搭建基于最大信噪比盲源分离系统仿真模型,为提高复杂系统模型的仿真速度,以及与仪器仪表结合的设计与调试提供了新的思路.仿真结果证明了采用C MEX S函数方式搭建模型的快速性与有效性.

Simulation of Blind Source Separation Based on C MEX S Function

Based on the mathematical model of the BSS with Max SNR, a novel method for modeling and simulation of BSS based on Max SNR system written in C language and linked into Matlab was proposed. Basically it constructed a compact framework of C MEX S function, and then isolated functional blocks, such as Centralizing block, Whitten block, BSS block based on Max SNR and Ordering block in retrial disposal, which could be modeled quickly. By the organic combination of these blocks, the model of BSS system based on Max SNR could be established efficiently. This is a new method which could guarantee the validity and speediness of system in simulation and combining system with instrument to debugging and design. The speediness and validity have been testified by the simulation results and this novel method offers a new throughway for design and debugging.