R_ESPRIT

数字信号处理清华大学出版社第二版 课本matlab源码(Digital Signal Processing, Tsinghua University Press, second edition of the textbook matlab source)

关于信息融合的各种算法，以及各种算法的应用。(On information fusion algorithm, and a variety of algorithms.)

这个源代码是关于遗传优化算法的源代码，里面注释很清楚(This source code is on the genetic optimization algorithm source code, which is very clear comments)

应用MATLAB实现连续信号的采样与重构仿真(Application of MATLAB to achieve continuous signal sampling and reconstruction of simulation)

说明：  数值分析的m文件，包括一阶 二阶导数的三点 五点公式，中点公式等(Numerical Analysis of m documents, including a second order derivative of the 3 5 point formula, midpoint formula, etc.)

MFCC参数和LPCC参数需要频繁使用的语音的说话人识别分析还需要使用大量的这些特征参数,这就需要研究MFCC和LPCC算法和参数提取的原则。因为我们需要了解与人交谈的过程中,我们要进行建模 率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(MFCC parameters and LPCC parameters are parameters of speaker recognition which requires frequent use of voice analysis also need to use a lot of these characteristic parameters, This requires research MFCC and LPCC algorithm and the principle of parameter extraction. Because we need to understand the process of talking to people, we want to conduct a speaker modeling the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula)

说明：  这是一个用遗传算法GA处理实际问题的实例(This is a use of genetic algorithms to deal with the actual examples of problems)

关于微波课设的材料以及SMITH圆图的相关说明(Microwave set on course materials and the related chart shows SMITH)

matlab中libsvm工具箱得到的model结构体中每个部分的含义(Libsvm toolbox in matlab to get the meaning of each part in the model structure )

本文件是MATLAB编写潮流程序的课件，该课件简单易懂，特别适合电力系统潮流计算初学者自学。(This document is prepared by the trend of the program MATLAB courseware, the courseware easy to understand, especially for power flow calculation for beginners learning.)