人脸识别完整程序

说明：  对于给定的滤波器参数，利用脉冲响应不变性法设计数字低通滤波器，并绘出了设计后的数字滤波器的特性曲线。(This code uses impulse invariant method to design a digital low-pass filter under given filter parameters,then it plots the designed filter s characteristic curve.)

本文件内容是十大经典算法之一——贪婪算法，还有详细的内容讲解，便于理解，下载的时候可能会占用一点时间。(Contents of this document is one of the top ten classical algorithm- greedy algorithm, there is a detailed explanation of the content, ease of understanding, the download time may take a little time.)

numerical analysis method(newton method)

关联规则挖掘算法的matlab程序，我编写了Apriori算法的LTgqvz 步骤，可以自动生成关联规则，计算支持度、置信度以及 WJFlqaT 检测，很好的小程序。(Association rule mining algorithm matlab program, I wrote LTgqvz step Apriori algorithm can automatically generate association rules, computing support, confidence and WJFlqaT detection, good little program.)

说明：  实现一阶Keystone变换，包含三种方法，分别是DFT+IFFT方法，sinc插值方法和chirp-Z方法(Three algorithms for perform keystone transform, including DFT+IFFT, sinc interpolation and chirp-z transform.)

精通maltab--maltab学习指导辅导练习综合教程用书(Proficient maltab- maltab comprehensive learning tutorial guidance counseling practice books)

matlab数学工具软件实例简明教程，适合简单自学使用(the the matlab mathematical tools software instance Condensed tutorial suitable for simple self-use)

matlab 程序 实现序列 的求和 相乘 反折 移位(matlab program to achieve the sequence fold shift by multiplying the sum)

exercice matlab for machine learning

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)