MIMO-MATLAB

编写S函数模块，实现两路正弦信号的叠加，正弦信号相位差为60度(Writing S function module, the superposition of two sinusoidal signals, sine signal phase difference of 60 degrees)

linear programing demo. An easy example in matlab. Very easy to follow this demo.

分水岭算法的Matlab实现，面向对象的图像分割(watershed, object-based image segmentation)

the ML parameters of a stochastic Linear Dynamical System using EM.

说明：  数字图象处理冈萨雷斯MATLAB源程序工具箱,包含数字图像处理各种算法(Digital Image Processing Gonzalez source MATLAB toolbox that contains a variety of digital image processing algorithms)

Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels. Here, we propose to approximate kernel map function explicitly in finite dimensional space. Then, we use dual coordinate descent to solve the SVM. By storing the solutions in primal, we do not have to compute the kernel explicitly. A group lasso regularization on kernel weights is solved with SVM alternatingly. This is a side-project in my research projects with Dr. Yi-Ren Yeh and Dr. Frank Wang in Academia Sinica.

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

这个程序是时间序列的第一步判断序列的平稳性的程序(This program is the first step to determine the sequence of time series stationarity program)

This book about history of fuzzy logic

电力系统潮流计算，基于BX快速解耦算法，对IEEE14节点标准拓扑网络进行检测，能够正确快速地计算出结果。(Power flow calculation based BX fast decoupled algorithm, IEEE14 standard topology network node detection, able to correctly calculate the results quickly.)