HARQ

说明：  MATLAB应用环境，适用范围，及应用举例(MATLAB application environment, scope, and application examples)

matlab 6.5 辅助图像处理，飞思卡尔技术研发中心编著(matlab 6.5 assisted image processing, Freescale Technology R & D Center ed)

可用于拉曼光谱或色谱数据背景扣除的自适应迭代惩罚最小二乘方法(adaptive iteratively reweighted Penalized Least Squares (airPLS) method for background subtraction of Raman spectroscopy or chromatography data )

实现全搜索，三步法，四步法，钻石法等等等等(Realize the full search, three-step method, four footwork, diamond method and so on and so on)

Leveraging C++ Applications Using COM An Example Using ATL COM利用COM继承的文档视图结构的应用程序的例子(Leveraging C Applications Using COM An Example Using ATL COM COM files View succession of application examples)

Romberg integration algorithm: a method for integrating mathematic functions, in MATLAB.

说明：  含风电机组的配电网可靠性评估算法，用ARMA模型预测风速并确定风速分布(An algorithm for reliability evaluation of distribution network with wind turbines, ARMA model is used to predict wind speed and determine wind speed distribution)

本文是编程实现图像的统计直方图，以利于了解直方图修正(This is the image histogram programming to help inform the histogram revised)

利用matlab仿真球、车、杆连接系统在不同风力下的运动状态(Using matlab simulation balls, cart, pole connection system in the state of motion under different wind)

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).)