immerge

线性预测分析是现代语音信号处理中最核心的技术之一，为现代语音信号处理的飞速发展立下了赫赫功劳，在语音分析、合成、编码、识别等方面都有着广泛的应用，至今仍是最有效的语音分析技术之一。(Linear prediction analysis is the most modern speech signal processing one of the core technology for the modern rapid development of voice signal processing and established illustrious contribution of the speech analysis, synthesis, coding, recognition and so on are widely used, still is the most effective voice analysis technologies.)

wiener filter for noise cancellation

exresice of marcel sidi

Daugman虹膜识别方法的研究,利用2_D Gabor filter进行Iris Recognition. MATLAB实现基于Daugman的虹膜提取算法源代码Iris-Segmentation(Daugman iris recognition method, using 2_D Gabor filter for Iris Recognition.MATLAB based on Daugman)

说明：  在MATLAB上实现混沌时间序列的Volterra预测算法(in MATLAB achieve chaotic time series prediction algorithm Volterra)

algorytm kruskala w matlabie

本人编写的一个Q学习最优路径学习程序，动态显示学习过程和试验次数(I prepared the best path to learning Q-learning program, dynamic display of the learning process and the number of tests)

前推回代配电网潮流程序源代码，并给出了计算实例(Forward and backward substitution power flow program source code, and calculation examples are given)

关于清华大学的自适应滤波算法的讲课文件，包含各种算法的讲解。(Tsinghua university about the adaptive filter algorithm of lecture documents, including different kinds of the sense of the algorithm. )

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)