prj_ip2

说明：  无约束一维极值问题中的斐波那契法，例程可调(Unconstrained extremal problem in one-dimensional Fibonacci method, routine adjustable)

多元线性回归算法，能将多个线性的物质之间的变量和自变量之间建立相关度高的线性回归方程。(Multiple linear regression algorithm, can the variables and between multiple linear material to set up linear regression equation with high correlation between independent variables. )

this is example of dfig machine

这是对matlab的一点简介。希望会对大家有用。(This is a point matlab profile. Hope will be useful.)

（1）matlab入门第一步，基本的matlab操作，轻轻松松进阶matlab((1) matlab Getting a first step, the basic matlab operation, easily advanced matlab)

该程序使用MATLAB实现了车牌识别，已通过测试，使用方法有边缘检测，腐蚀等操作(The program use MATLAB the license plate identification, already through the test, and method of use have edge detection, corrosion and other operational)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，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(Cochlear substantially equivalent to a filter set, cochlear filter is used on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, 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 )

图论，最小费用最大流法. 一种数学建模的实用方法，对你的比赛，和应用很有帮助(The method of graph theory, the minimum cost maximum flow.A good mathematical modeling tool, It is very helpful to your study MATLAB)

实现基本的PCM编译码功能，函数简单，程序可行(PCM encoding and decoding functions to achieve the basic function is simple, practical procedures)

matlab两阶段单纯形法解线性规划问题的函数，有详细的注释和说明，还有一个word文档是用该程序解决实际问题的一个例子。(Matlab codes for simplex 2 phase algorithm, detailed comments and instructions, and a example using this code to solve a real problem.)