RLST

LMS自适应滤波器，实现信号的自适应滤波作用(LMS adaptive filter, adaptive filter realization of the role of signal)

A article about face Verification Using GaborWavelets and AdaBoost

逆合成孔径雷达，互相关法包络对齐，单特显点法初相校正，Matlab仿真。(Inverse Synthetic Aperture Radar，Cross-correlation envelope alignment，Special single-point method significantly early phase correction。)

本函数将完成W—svd模型下数字水印的嵌入，即经典的W-SVD数字水印算法(This function will finish W- SVD model under the embedded watermark, namely classic W- SVD watermarking algorithm is proposed)

3phase power converter using sync 6-Pulse Generator

alg regiongrow based on matlab ,just a simple one.and it can only be suggested as a reference

c程序，子函数chirp（）产生周期性chirp信号，即线性调频信号。(c procedures, Functions chirp () have a periodic chirp signal, that is, the linear FM signal.)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

股票指数模拟为几何布朗运动，GBM。 参数有五个： s0，dt（time step），均值，标准差，到期时间T； 利用子函数进行10万条轨道的monte carlo 模拟到期日（3个月）的指数点数，从而估计在买入信号出现后，3个月后的损益情况，主要用来估算VAR (Financial risk analysis on Matlab monte carlo simulation, stock index simulation for geometric Brownian motion, GBM. )

本代码是描述串联机器人的雅克比矩阵的推导和灵巧度的分析(this code is to describe the Jacob matrix of the serial robot and its dexterity)