FSK

digital image decimation-interpolation

matlab包括最基本的语音处理程序（如谱减法，谱幅度估计，语谱图等）以及语音库(Located in this Prentice Hall web site compartment are functions, scripts, workspaces, and data required by the MATLAB exercises in the text: Discrete-Time Speech Signal Processing: Principles and Practice. Note that the speech files given are often specific cases of a certain class of speech signal, i.e., the waveforms often can be replaced by other examples with similar characteristics that serve the instructive purpose of the exercise.)

本文件详细说明了PID算法Matlab仿真程序和C程序(Matlab simulation program and C program of PID algorithm)

射频方面的资料，里面有详细的M文件，希望对大家有用。(Radio frequency information, there are detailed paper M, in the hope that useful to everyone.)

Triangular Mesh Refinement This function will refine any closed triangular mesh with 4-split spline interpolation.

数据挖掘的新方法－支持向量机书中算法例子，对学习有帮助。(new data mining methods-book support vector machine algorithm example, to learn helpful.)

说明：  现代信号处理功率谱估计部分，通过导频估计(this is the function that estimates the power spectrum)

有关图像修复的综述性文章，很有启发性，很是经典，介绍了图形修复的主流方法(Overview of repairing the image of an article is very enlightening, it is a classic, introduced a mainstream graphics repair)

实现小脑模型逼近函数的程序（初学，仅供参考）(Realize the cerebellum model approaching function of the program )

一、 牛顿－拉夫逊法概要 首先对一般的牛顿－拉夫逊法作一简单说明。已知一个变量X的函数 （4－6） 解此方程式时，由适当的近似值X（0）出发，根据 （4－7） 反复进行计算，当X（n）满足适当的收敛判定条件时就是（4－6）式的根。这样的方法就是所谓的牛顿－拉夫逊法。 式（4－7）就是取第n次近似解X（n）在曲线 上的点 处的切线与X轴的交点作下一次X（n+1）值的方法。参考图4－2（a）。在这一方法中为了能收敛于真解，初值X（0）的选取及函数f（X）必须满足适当的条件，如图4－2（b）所示的那种情况就不能收敛或收敛到别的根上去。 这一方法还可以做下面的解释，设第n次迭代得到的解与真值之差，即 的误差为 时，则 （4-8） 把 在 附近对 用泰勒级数展开 （4-9） 上式略去 以下的项 （4-10） 的误差可近似由上式计算出来 图4-2 （4-11） 比较式（4-7）和（4-11），可以看出牛顿-拉夫逊法的修正量和 的误差的一次项相等。 用同样的方法考虑，给出对n个变量 (:Because of the importance and complexity of power system, better algorithm and programme language is very important . An interior point method based on the perturbed Karush2Kuhn2Tucker (KKT) condition is pre2 sented in this paper , where the method and process for the optimal power flow is treated through the Matlab’s symbolic math toolbox and Mfunction is also presented. Using the symbolic code , it can improve the adaptability of the programme dramatically. The advantage is that , what we need to do is change the model expression. We can make use of the symbolic programme to check our programme while we write the Mfunctions. Using the Mat2 lab , we find the optimal solutions and calculate quickly and efficiently. It has proposed the powerful and unique functions of Matlab in the optimization and calculation for power system. Key words :power system symbolic calculation optimal power flow interior point method)