Multi-signosis

Find first k positive zeros of the Bessel function

对于matlab编程的一些风格的指南，感觉还是比较重要，特别对于初学者，分享一下啦(For some matlab programming style guide, I feel it is quite important, especially for beginners, to share it)

基于遗传算法和匹配追踪的信号分解程序和MATLAB仿真(Matching based on genetic algorithms and procedures to track the signal decomposition and MATLAB simulation)

脑波FFT变换 调用格式见m文件头部说明（下边也复制了一份） 有配套.DLL.h.lib.ctf文件，可以在C或C++环境中调用 ------------------------------------ 保存为FFT.m文件 输入参数： N：进行FFT变换的点数（要求是2的N次幂）； fs：信号的采样频率（frequency of simpling） sig：进行FFT变换的数组（一维）。 输出参数： f_sig:变换后的信号（一维数组） E_delta、E_theta 、E_alpha、E_beta分别表示δθαβ相应频段的能量加和。 other为其余频段的能量加和（供参考用） -------------------------------------------------------------------------- function[ f_sig ,E_delta , E_theta , E_alpha , E_beta , other ] = FFT( N , fs , sig )(EEG FFT transform is called m file format, see head illustrate the matching DLL files, you can be C or C++ to call------------------------ simpling) sig: to FFT transform array (one dimension). Output Parameters: f_sig: transformation of the signal (one-dimensional array) E_delta, E_theta, E_alpha, E_beta δθαβ, respectively, the energy increases and the corresponding frequency band. Other for the rest of the energy band increases, and (for reference) -------------------------------------------------------------------------- function [f_sig, E_delta, E_theta, E_alpha, E_beta , other] = FFT (N, fs, sig))

adaptive filter project two

fuzzy clustering and data analysis toolbox

fastica 工具包，独立成分分析。安装在matlab的toolbox下即可使用(fastica toolbox，for ica analysis)

组合的FSK_BPSK_DPSK几种方式的集合的仿真训练内容，仅供参考，如果有价值那我会更高兴。(FSK_BPSK_DPSK combination of the methods set of simulation training content, for reference purposes only, If the value then I would be more pleased.)

matlab数字图像处理，关于角点特征检测的内容(matlab digital image processing, feature detection on the corner of contents)

一种改进的k均值聚类算法，在matlab平台上测试已经通过(An improved k-means clustering algorithm on matlab platform test has been passed.)