svm.cpp

支持向量机SVM和核函数的matlab程序集(SVM matlab)

基于MATLAB编写的前推回代法求解IEEE33节点电压(Forward and backward substitution method to solve the node voltage IEEE33)

录制一段噪声，利用matlab对该材料进行声音的频谱分析。(Record a noise, the use of the material to matlab sound spectrum analysis.)

matlab实现商标文字分割~第一部分计算列梯度差，计算每个像素的列方向一定范围内（n）最大值和最小值的差距,统计该差值超过某一设定域值T的像素的个数，并将该统计个数存在 GY 向量。，第二部分计算行梯度差，计算每个像素的行方向一定范围内（n）最大值和最小值的差距，统计该差值超过某一设定域值T的像素的个数，并存在 GX 向量(matlab text segmentation ~ realize trademarks calculations are shown in the first part of the gradient difference, calculated for each pixel column direction of a certain range (n) the difference between maximum and minimum values, statistics of the difference exceeds a certain threshold T set of pixels of a few, and the statistics of the number of vectors exist GY. , The second part of the calculation line gradient difference, calculated for each pixel within a certain range direction (n) the difference between maximum and minimum values, statistics of the difference exceeds a certain threshold T set the number of pixels, and the existence of GX Vector)

说明：  提取LPC参数进行，倒谱系数的计算，用于静音检测算法，(Extract LPC parameters, the calculation of cepstral coefficients for mute detection algorithm)

说明：  BCJR算法是在Turbo码的译码中广泛使用的一种重要算法。程序实现了BCJR的具体译码方法。程序是MAP-LOG的实现算法。(BCJR Algorithm for Turbo decoding is widely used in a key algorithm. The specific procedures implemented BCJR decoding method. MAP-LOG program is the realization algorithm.)

Texture Segmentation Using Texture Filters such as : entropyfilt, rangefilt and stdfilt.

进行一元线性回归分析，分析的模型y=a+bx+e,e服从N(0,sigma平方),以及根据所建的一元线性回归模型进行预测实例(A linear regression analysis, the analysis of the model y = a+bx+e, e obey N (0, sigma squared), and built a linear regression model to predict instance)

这是一个非常经典的matlab程序。运用蚁群算法来解决（TSP）旅行商问题。(This is a very classic matlab program. Using ant colony algorithm to solve (TSP) TSP. )

利用可视图理论对时间序列建网，得到复杂网络，再求取该网络的聚集系数(throuth the theory of time series of network construction, we get the complex network, and then calculate the clustering coefficient of the network)