fwdfbio

改文件描述了2DPSK的一些基本原理及其实现方法，主要在MATLAB环境实现(the description of 2DPSK)

compare between image using matlab

MATLAB常用的例子，这里举了100个常用的，目录已经单独传上，这是一部分例题!(MATLAB common examples cited here of the 100 commonly used, the directory has a separate mass, which is part of sample questions!)

电力系统及其自动化专业，电力系统分析潮流计算编程，采用N-R法(Systems and automation, power system analysis power flow calculation program，Using the N-R method)

说明：  Matlab从入门到精通中所有的源程序。(Matlab from entry to master all of the source.)

说明：  K分布仿真的一部分，一部分是斑纹分量 还有是结构分量 两者点乘得到K分布序列 (K distribution part of the simulation, in part, there is a structural component markings component of both the dot distribution sequence obtained K)

IMC-PID是利用内模控制原理来对PID参数进行计算，光纤无线通信系统中传输性能的研究，有循环检测，周期性检测。( The IMC- PID is using the internal model control principle for PID parameters is calculated, Fiber Transmission wireless communication system performance, There are cycle detection, periodic testing.)

speech recognition MAtlab source code

基于simulink实现下垂控制，实现并网逆变器功率均分(Realize droop control based on simulink and realize power equalization of grid-connected inverter)

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present