BP

说明：  用matlab仿真的递推极大似然法辨识程序，可用来进行系统辨识，很好用(simulation using Matlab Recursive maximum likelihood method identification procedures, which can be used for system identification, good use)

信号、系统及频率响应，离散时间傅立叶正反变换，离散LTI系统的频率响应(Signals, systems and frequency response, both positive and negative discrete-time Fourier transform, discrete frequency response of LTI system)

MatLab求解整数规划的一个工具箱， 有需要的吗(MatLab Solving Integer Programming a toolbox, the needy?)

求电力系统状态估计ieee9节点 的雅阁比矩阵 依次类推可以求多个节点的雅阁比矩阵(Seeking power system state estimation Accord than ieee9 node matrix)

包含两个程序,以蛙跳积分法绘制henon-heiles演化方程的时间演化图,x-y,x-vx,y-vy相图和三维庞加莱截面图.( Contains two procedures to leapfrog integration time evolution plotted in Figure henon-heiles evolution equations, xy, x-vx, y-vy phase diagram and three Weipangjialai-sectional view.)

一种改进的Toeplitz算法，具有更好的稳定性，更高的分辨力(A kind of improved Toeplitz algorithm, it has better stability, higher resolution )

瑞利衰落信道的Matlab仿真模型程序，这个是关于OFDM 的循环卷积源代码(Rayleigh fading channel simulation model of the process, this is the cycle of OFDM convolution source code)

matlab programm for kmean and fuzzy cmean clustering.

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)

卷积编码和viterbi译码实现参考的一些论文(reference paper used to realize convolution code and viterbi decode)