simouse

turbo码的C程序，许多行前面都有些序号 请自己更正以后运行(turbo code of C procedures, many firms are some of the serial number in front of your own running after correction)

阵风风速模型，希望有人能用到，可以用作matlab风电场建模，双馈电机等方面(wind speed)

Wavelet analysis method for knock detection in injection engine

对matlab各函数的一个串讲，对学习过但很久没用的同学回忆功能非常有用。(some classic examples make matlab easy to study )

Economic load dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. It is formulated as an optimization problem of minimizing the total fuel cost of all committed plant while meeting the demand and losses .The variants of the problems are numerous which model the objective and the constraints in different ways. The basic economic dispatch problem can described mathematically as a minimization of problem of minimizing the total fuel cost of all committed plants subject to the constraints

说明：  用schwarz电弧方程建立的电弧仿真电路，可用于观察燃弧期间的电弧电压和电流、电导，(a simulation of schwarz arc model using matlab,)

通过matlab来获取6轴机械臂的逆解，里面包含了matlab的机器人库。(The inverse solution of the 6 axis manipulator is obtained by MATLAB)

jpeg compression , use DCT, Zigzag, Quantization,IDCT, InvZigzag, huffman to do the compression with matlab

用matlab轻松实现excel格式的数据输出(Easy to use matlab data output excel format)

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