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通常优化变量需要在制定的范围内选择，John D Errico开发了带有边界约束的最优化问题求解程序，并进行了改进(Optimization variables are usually required to develop a range of options, John D' Errico developed with the boundary constraints of optimization problem solving process, and an improved)

matlab仿真,超宽带信号中,产生固定周期数的正玄信号(matlab simulation, ultra-wideband signal to produce a fixed number of periods is mysterious signal)

Added Channel equalization & AWGN noise effects

Robotics Toolbox for matlab简要帮助文件 可以用于机器人路径规划(Robotics Toolbox for matlab)

说明：  读取MIT BI心电数据库文件，使用matlab编程，(MIT BI read ECG database file, use the matlab programming,)

完成相关向量机的回归与分类的功能，采用经典例子(The relevance vector machine regression and classification)

自己编写的matlab程序，实现了图像的模糊C均值分割，没有调用工具箱里的fcm函数，里面的图像，代码文件齐全，亲测可用(I have written the matlab program,did not call the toolbox FCM function to achieve the image of the fuzzy C mean segmentation. The code file is complete, can be debugged.)

stats 用于检验回归模型的统计量，有三个数值：相关系数r2、F值、与F对应的概率p.相关系数r2越接近1，说明回归方程越显著；F > F1-α（k，n-k-1）时拒绝H0，F越大，说明回归方程越显著；与F对应的概率p 时拒绝H0，回归模型成立.(stats for the test statistic of the regression model, there are three values: the correlation coefficient r2, F value, and F corresponds to the probability p. The correlation coefficient r2 more close to 1, note the more significant regression equation F> F1-α (k, nk-1) refused to H0, F the bigger shows the more significant regression equation F corresponds with the probability p refused H0, set up a regression model.)

Matlab code for PSNR for G723.1 coder

本书既包含了数字信号处理的经典内容，也包含了部分前言内容。理论与应用相结合，特别注重应用matlab来解决理论与算法的实现问题，对于数字信号处理的学习者很实用。  (The book contains both the digital signal processing classic content, but also contains some foreword content. The combination of theory and application, with particular emphasis on applications to solve matlab realization theory and algorithms for digital signal processing learners very practical.)