MHH

模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程(One of the classic pattern recognition algorithms, dynamic clustering k-means algorithm using matlab programming)

说明：  BUCK类型的DCDC变换器，经过调试效果良好，欢迎下载(BUCK types of DCDC converters, through commissioning works well, welcome to download)

《MATLAB程序设计教程》一书的随书源代码("MATLAB Programming Guide," a book of the source code along with book)

新的2维角度估计的高分辨方法。该方法首先建立基于范数约束的最优化问题的目标函数；然后用迭代算法沿均匀面阵接收数据的方位向求最小化目标函数的稀疏解，得到方位、俯仰角耦合的空间角频率，并分离信号；最后对每个分离的信号，沿面阵俯仰向求稀疏解，得到信号的俯仰角，进而求得对应的方位角。(The new high-resolution 2-D angle estimation method. Firstly, the establishment of an objective function optimization problems based on norm constraint then iterative algorithm along with uniform orientation plane array receives data to seek to minimize the objective function is sparse solution, get directions, spatial frequency coupling angle pitch angle, and separated signals Finally for each signal separation along the sparse area array pitch to seek solutions to obtain the pitch angle of the signal, and then obtain the corresponding azimuth.)

国外一个matlab工具箱，里面包括mlr,pca,pls,kpcr等(Abroad, a matlab toolbox, which includes mlr, pca, pls, kpcr, etc.)

a modified version of siso algorithm

说明：  利用Matlab产生一个2FSK信号,显示出时域以及频域的波形(2FSK using Matlab to generate a signal, showing that the time domain and frequency domain waveforms)

Program to calculate the impulse response of ideal filters that illustrate the gibbs fenomenon.designing filters by windowing method and seing impulse and frecuency respons of filters and checking response by incresing the number of elementos fenomenon of gibbs.

动态模型参数的极大似然辨识及其MATLAB实现范例(Dynamic model parameters of maximum likelihood identification and implementation examples of MATLAB)

说明：  matlab编写的时间序列分析工具，应用AR模型对时间序列进行预测(time series analysis written matlab tools, applications, time series AR model to predict)