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首页> 外文会议>2011 International Conference on Consumer Electronics, Communications and Networks >A novel adaptive step-size algorithm of blind source separation based on non-linear function
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A novel adaptive step-size algorithm of blind source separation based on non-linear function

机译：基于非线性函数的盲源分离自适应步长算法

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摘要

The conventional fixed step-size algorithm of blind source separation(BSS) cann't adaptively chang in the process of original signals separation, so both the convergence speed and the steady-state misadjustment aren't simultaneously satisfactory. To solve the problem, a novel step-size algorithm of BSS based on non-linear function is proposed in this paper, it makes the step-size value match the dynamics of the input signals and unmixing matrix adaptively at each iteration, its performance is investigated through simulations. The results obtained show that superior performance can he achieved relative to that of an existing fixed step-size algorithm.
机译：盲源分离（BSS）的传统固定步长算法在原始信号分离过程中不能适自相容，因此收敛速度和稳态误解都不同时令人满意。为了解决问题，本文提出了一种基于非线性函数的BSS的新颖级算法，使得步长值在每次迭代时自适应地匹配输入信号和解密矩阵的动态，其性能通过模拟调查。得到的结果表明，可以相对于现有的固定阶梯大小算法实现卓越的性能。

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