TurboPixels64

IEEE33节点配电网潮流计算程序，采用前推回代方法进行计算(IEEE33 node flow calculation program，power generation method is used to calculate.)

设计仿真信号，并进行仿真信号的边际谱分析(Hilbert Spectrum)

PO ALGORITHM SIMULATION

在matlab/simulink环境下开发的基于光流法的车辆检测器应用程序。(Vehicle detector applications based on optical flow method developed in the matlab/simulink environment.)

各式各样的扩散为基础的图像滤波方法: 1。线性扩散滤波使用热方程,解决了使用隐式和显式欧拉方法。 2。边缘增强线性各向异性扩散滤波。 3。边缘增强非线性各向异性扩散滤波。(The spread of a variety of image filtering method based on: 1. Linear diffusion filter using the heat equation, solved using implicit and explicit euler method. 2. Edge enhancement of linear anisotropic diffusion filter. 3. Edge enhancement of nonlinear anisotropic diffusion filter. )

说明：  线性自抗扰通过sfunction实现，适用于基础入门学者。(Linear auto-disturbance is achieved through sfunction,For basic entry scholars.)

说明：  对语音进行解调，用MATLAB实现，希望对大家有用(For demodulation of the voice, using MATLAB to achieve, in the hope that useful)

dark channel defog 包含在一个文本文件中的两个matlab程序能够实现很好的图像清晰化功能(decrease haze)

matlab基础学习必备书籍，内容详细，适合新手(matlab-based learning essential books, detailed, suitable for novice)

This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder). (This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal s programs collection, which can be found in [1]. While Neal s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).)