Untitled-QPSK

this code filter the band using matlab program

最炫民族风（凤凰传奇）旋律的MATLAB程序形式(MATLAB program in the form of the melody of the coolest Ethnic (Phoenix legend))

matlab/simulink搭接模型，采用UDP协议发送数据；c#控制台程序采用相同协议接收数据。(matlab/simulink build model, using UDP protocol to send data c# console application receives data using the same protocol. .)

贝叶斯分类器，可以输入不同的数据，从而区分出两类产品，只能两类(bayes)

采用自相关法提取基音周期，提取周期与实际值误差较小(Using autocorrelation method to extract the pitch period extraction cycle with the actual value of the error is smaller)

大家都需要的遗传算法工具,大家要下的快抓紧点下!(We need the tools of genetic algorithm, we must pay close attention to the point where fast!)

计算小波熵程序，先计算出小波分解后的小波系数，对其求熵得出结果。(Wavelet entropy calculation program, first calculate the wavelet coefficients of the wavelet decomposition, the results of its request entropy.)

Dynamic control of the 6WD skid-steering mobile robot RobuROC6 using sliding mode technique

DTMF for matlab, using Goertzel algorithm and some test to veryfy the different tones

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).