DSP-JamshidBahrami-1

说明：  基音检测,检测出语音的基音频率，采用了小波和经典方法(base tone)

全球导航系统中，软件接收机基带处理部分的捕获电路的算法仿真(FFT acquisition )

用于特征脸识别的MATLAB经典代码，本科毕业设计所做，调试成功，运行结果理想(Face Recognition MATLAB for feature classic code, doing graduate design, debugging success, the results are satisfactory)

说明：  两自由度系统振动模型，初级学习模型，Simulink(Two-degree-of-freedom system vibration model, primary learning model, Simulink)

对于我们电气专业的仿真而言，我们主要用到的可能是Simulink工具箱，SimPowerSystem工具箱。当然也有可能涉及到SimExtra工具箱。但主要是实用前两者来进行电力系统，电力电子和电机等方面的仿真。因此在进行这些仿真的时候，有一些基本的原则：(For our simulation of electrical expertise, we may be used in Simulink main toolbox, SimPowerSystem toolbox. Of course, there may relate to SimExtra toolbox. But mostly for the first two practical power systems, power electronics and motor and other aspects of emulation. Therefore, when conducting these simulations, there are some basic principles:)

说明：  摘要：用MATLAB对基带数据传输解调检测进行仿真，推导不同先验概率下，接收端最小错误的判决门限。仿真不同先验概率下的误码性能，二进制与多进制的误码性能比较，码间串扰对误码性能的影响，及频偏对串行通信误码率的影响。 关键词：MATLAB，基带传输，检测，判决门限 (Abstract: Using MATLAB for baseband demodulation simulation data derived under different prior probability, the receiver decision threshold minimum error. Simulation under different prior probability of error performance, binary and multi-bit error performance of binary comparison ISI on the BER performance, and the offset of the serial communication error rate. Keywords: MATLAB, baseband transmission, detection, decision threshold)

实现2d-DOA 算法的仿真，实验结果以均方误差的形式绘制图表(The simulation of 2d-DOA algorithm is implemented, and the experimental results are plotted in the form of mean square error)

本程序为零序电流小波变换求首波头极性及模值大小原理:故障线路的波头极性与非故障线路相反。(This procedure is zero sequence current first wave wavelet transform modulus of the first polarity and the size principle: the first wave of fault lines fault lines and non-polar opposite.)

这个程序可以用来在matlab环境下读入和写出.ini文件的内容，因为matlab并没有提供专门读写.ini的函数，所以这个函数很实用(This procedure can be used to read into matlab environment and to write. Ini file, because matlab does not provide specialized reading and writing. Ini function, this function is very useful)

在matlab平台上，基于混合高斯模型的前景提取。(Matlab platform, based on Gaussian mixture model prospects extract.)