template-matching

一段实现参数Bootstrap方法Matlab程序(A Matlab implementation parameters the Bootstrap method)

各种蚁群算法详细介绍，详细的例程和讲解。(Details of the various ant algorithms, routines and explain in detail.)

卡尔曼滤波仿真程序，MATLAB仿真，可以使用(Kalman filter simulation program, MATLAB simulation, you can use)

选择两个函数做卷积运算，本实验里可供选择的函数有矩形窗函数，锯齿波函数和sinc函数，观察选取函数的波形(Select convolution of two functions to do this experiment choice of function has rectangular window function, sawtooth wave function and the sinc function, observe the waveform selection function)

说明：  四种滤波器的设计，里面有详细的程序与图像，可以运行出来的(Four kinds of filter design, there is a detailed procedure and image, can run out of the filter )

说明：  SAR雷达，点目标仿真，程序+文献，包教包会(SAR radar, point-target simulation, the program+ documentation.)

这个程序是MIMO通信系统的信道仿真，完成了MIMO系统中各种信道的仿真(This program is a MIMO communication system channel simulation, the completion of the MIMO system, the simulation of various channel)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

pca算法，有详细注释，通过光谱区分苹果酸甜度，对于想学习pca算法的初学者，有很大帮助(pca algorithm, detailed notes, by spectroscopic distinguish sour apple degree, want to learn pca algorithm for beginners, there are a great help)

递推最小二乘法的matlab程序，亲测可出图(recursive least squares)