关键词: 盲源分离（BSS）, 独立分量分析（ICA）, 快速独立分量分析（Fast-ICA）, 八阶收敛牛顿迭代

Abstract: The most popular solution for Blind Source Separation（BSS） problem is Independent Component Analysis（ICA） , and the Fast-ICA algorithm is widely used in BSS. The traditional Fast-ICA algorithm is optimized by the quadratic convergence of Newton iteration method. To accelerate the convergence speed and improve the running efficiency of the algorithm, this paper gives an improved Fast-ICA algorithm with eighth-order convergence of Newton iterative method. The simulation results show that the computational speed of the improved Fast-ICA is faster than that of the traditional Fast-ICA and the Fast-ICA with fifth-order convergence of Newton iteration method.

Key words: Blind Source Separation（BSS）, Independent Component Analysis（ICA）, Fast-Independent Component Analysis（Fast-ICA）, eighth-order convergence of Newton iteration