是小学期课程设计的题目，供做算法研究人员参考，鲁棒性好，性能优越，现代信号处理中谱估计在matlab中的使用，添加噪声处理，GSM中GMSK调制信号的产生。

Communition MATLAB (Proakis)书的源程序，很不错(Communition MATLAB (Proakis) source book, very good)

说明：  语音识别中，提取MFCC特征参数时用到的MEL滤波器组函数，函数名为melfb(the function of melfb for speech recognition)

说明：  包括信号的基本形式，卷积，傅立叶变换，s变换，z变换(signals including the basic form, convolution, Fourier transform, transform s, z, etc. Transform)

Synchronous motor simulation for performing modern control and other controllers

产生一个长为1000的二进制随机序列，“0”的概率为0.8，”1”的概率为0.2； 对上述数据进行归零AMI编码，脉冲宽度为符号宽度的50 ，波形采样率为符号率的8倍，画出前20个符号对应的波形（同时给出前20位信源序列） 改用HDB3码，画出前20个符号对应的波形 改用密勒码，画出前20个符号对应的波形 分别对上述1000个符号的波形进行功率谱估计，画出功率谱 改变信源“0”的概率，观察AMI码的功率谱变化情况(A length of 1000 random binary sequence, and " 0" with a probability of 0.8, " 1" with a probability of 0.2 the AMI code above zero, the pulse width of the symbol width of 50 , the waveform sampling rate Symbol rate 8 times, draw the top 20 of the waveform corresponding to the symbol (the first 20 and gives the source sequence) switch HDB3 code, the first 20 to draw a waveform corresponding to the symbol to switch Miller code, the first 20 symbols correspond to draw The waveforms of the symbol of the waveform 1000 power spectrum estimation, shown to change the source power spectrum " 0" , the probability of observation of the power spectrum of AMI code changes)

采用离散余弦变换DCT，通过MATLAB实现数字水印（包括水印的嵌入和盲提取）。( Uses discrete cosine transformation DCT, realizes the digital watermark through MATLAB (including watermark inserting and blind extraction). )

通过MATLAB实现对无排队等待的呼叫系统的仿真，并且得出在不同的呼叫到达速率下系统的阻塞率，并且和理论的erlangB公式做出对比。(MATLAB to achieve through the call without waiting in line system simulation, and come to a different call arrival rate in the system blocking rate, and the formulas and theories erlangB to make comparison.)

应用背景在这个项目中，我们使用人工神经网络来识别手写字符。在这种情况下。手写字符的数字范围从0到9关键技术人工神经网络在目前的应用范围很广。该项目采用反向传播算法来解决所需的问题。

unitcommitment usig laglang reduse

动态分级法matlab程序，动态聚类，方法简便有效，而且能够给出所有分类结果。(Dynamic classification method matlab procedures, dynamic clustering, the method is simple and effective, and can give all the classification results.)