FOS_convert

Using Radial Basis Probabilistic Neural Network for Speech Recognition

FPGA输出数据的时频域分析GUI界面， 可观察信号的时域频域波形，星座图眼图等特性(FPGA output data of the time-frequency domain analysis GUI interface, can be observed the signal in time domain frequency domain waveforms, constellation diagram, such as eye diagram characteristics)

class-d 输出滤波器仿真，classd 输出滤波器计算(class-d filter simulation)

粒子群算法在matlab中应用，很实用，很好用(Particle swarm optimization applications, very useful in matlab)

不错的动画效果的demo，真诚希望对大家有帮助，也希望大家来点人气，谢谢。(A good animation demo, sincerely hope to have the help to everybody, also hope to some popularity, thank you.)

基于GUI的计算器实现了基本加减乘除的计算机的功能，可以matlab仿真。(It is a good GUI.)

0-1整数规划有很广泛的应用背景，比如指派问题，背包问题等等，实际上TSP问题也是一个0-1问题，当然这些问题都是NP问题，对于规模较大的问题用穷举法是没有办法在可接受的时间内求得最优解的，本程序只不过是一个练习，得意之处是用递归法把所有解都排列出来。另：胡运权所著的《运筹学基础及应用（第三版）》第97页的例3，我用本程序求解得到的结果是：最优解是x*=(1,0, 0, 0, 0)，最优值是f(x*)=8，但书求得最优解是x*=(1,0, 1, 0, 0)，最优值是f(x*)=4，是不是书中写错了，请大家验证。以下是源程序，大家可以任意使用无版权问题，另外，如果大家有大规模的0-1规划的问题也希望提供给我，谢谢。变量个数至少是3个(0-1 Integer Programming is a very broad background, such as assignment, bags and so on. actually TSP is a 0-1, of course, these problems are NP, for larger problem with the law is not exhaustive approach in an acceptable time frame to obtain the optimal solution. this procedure is only one practice, farewell tour is the method used recursive all of the solutions to show. Another : Hu Yun-author of "operational research, and application base (third edition)" Article 97 of the three cases, I use this procedure to solve the result is : is the optimal solution x = (1,0, 0, 0, 0), the optimal values of f (x*) = 8, but the book is to find the optimum solution x = (1,0, 1, 0, 0), the optimal values of f (x*) = 4, the book is not a mistake, please certification. Following is the source)

说明：  主要是matlab7.0在数字信号处理中的应用，仅供初学者看，本人是菜鸟级人物。(Mainly matlab7.0 in digital signal processing applications, only a beginner, I was the rookie-level characters.)

To test qr Bar code only

说明：  结合matlab强大的数据处理能力和蒙特卡洛方法的强大随机模拟功能，编写了一个小算例(Combining the powerful data processing ability of MATLAB and the powerful random simulation function of Monte Carlo method, a small calculation example is compiled)