This thesis focuses on the ica algorithm and its applications in image processing.
论文围绕ICA算法及其在图像处理中的应用进行了深入系统的研究。
Finally, the experimental and analytical results show that in face recognition KICA algorithm outperforms ica algorithm.
实验和分析结果表明，在人脸识别中，基于KICA的方法优于基于ICA的方法。
Former ica algorithm generally supposes that the noises can be neglected, but practically, the additional noises are often included in surveyed data.
以往的ICA算法一般假设噪声可以忽略不计，而实际的观测数据中又常常包含一些加性噪声。
The fast ICA algorithm is proposed to separate the rub-impact signal from the noise signal.
针对大背景噪声，本文提出采用快速ICA算法对碰摩与噪声信号进行分离。
Based on ICA algorithm with reference signals, a method of removing blinking artifacts was proposed in this paper.
本研究提出了一种基于带参考信号的ICA算法的脑电信号眨眼伪差的分离方法，可以得到纯净的脑电信号。
After analyzing ICA algorithm, a new method of the radar signal sorting based on independent component analysis is proposed.
在深入分析ICA算法的基础上，提出了将其用于雷达信号分选的新思路。
After analyzing ICA algorithm, a new method of the radar signal sorting based on independent component analysis is proposed.
在深入分析ICA算法的基础上，提出了将其用于雷达信号分选的新思路。
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