fast-ICA

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

图像加密隐藏的一个用MATLAB编写的好程序。(Hidden image encryption using MATLAB write a good program.)

利用单应点进行透视反变换，matlab实现(Perspective inverse transform, matlab achieve)

使用经验模式分解算法的论文集与源码包，包括了最新的EMD工具箱及其使用手册，是一套可以直接应用的软件(The use of empirical mode decomposition algorithm for a collection of essays and source packages, including the latest EMD toolbox and how to use manual is a set of software that can be applied directly)

说明：  广义切比雪夫的传输零点提取 传输零点提取.m(generalized Chebyshev transmission Transmission Extraction 0.1 0.1 Extraction. M)

This program show how a deformed spectrum would affect the pulse shape

该算法主要针对稀疏矩阵的表示，适合初学者进行学习应用(The algorithm for sparse matrix suitable for beginners to learn the application)

Unsupervised Statistical Models for General Object Recognition

基于MATLAB的一种新的免疫算法的事项方式，程序简单实用，没有冗余。(a new algorithm for immunization practices, procedures simple and practical, without redundancy.)

MATLAB产生BPSK信号和FM信号。包括信号的成形滤波，频谱分析和功率谱分析(MATLAB generated BPSK signal and FM signals. Signal shaping filtering, spectrum analysis, power spectrum analysis)