work

Monte carlo simulation

Parameterized modules in Erlang

说明：  matlab环境下的iris 和 sonar的数据聚类。包括GA、k-means、FCM（只有iris）。(Iris and sonar data clustering in Matlab environment. It includes GA, K-means and FCM(only for iris).)

增量式极限学习机的matlab源码,很不错，本科毕设用到的(Incremental extreme learning machine matlab source code, very good, complete set used in undergraduate)

基于一阶AR模型u(n)=0.99u(n-1)+v(n),白噪声方差0.93627.步长0.05.分别使用M=2和M=3抽头的滤波器，用LMS算法实现u(n)的线性预测估计。并附仿真图已被参考。(Based on a first-order AR model u (n) = 0.99u (n-1) the+v (n), the white noise variance 0.93627 step 0.05. Respectively with M = 2 and M = 3-tap filter, with the LMS algorithm u (n) of the linear prediction estimates. Along with simulation diagram reference.)

HISTNORM Histogram normalized [...] = HISTNORM(...) works like HIST, but the frequency is normalized so that area sum is 1. Bonus usage! [...] = HISTNORM(..., plot ) plots and returns the output arguments. Be sure plot is the last argument. Example: data = randn (10000, 1) [xo,no] = histnorm(data, 101, plot ) hold on plot (no, normpdf(no), r ) hold off See also: HIST.

自适应滤波的matlab代码，非常实用，可配合专门的书籍参考(Adaptive filtering matlab code, very practical, with special reference books)

ldpc码的编解码实现，包括调制，解调，信噪比计算，汽车课设货车Matlab驱动力图程序。( Codec ldpc code implementation Includes the modulation, demodulation, signal to noise ratio calculation, Car class-based truck driver trying to Matlab program.)

EBMA bidirectional for motion estimation

用G_P方法计算关联维数，设置步长为100，可以自行设定。(Correlation dimension calculation method used G_P set in steps of 100, you can set their own.)