LMS_algorithm_demo

关于Hough转换的matlab代码，有图片和文字解释(On the Hough transform matlab code, pictures and text to explain)

基于短时能量的语音信号端点检测MATLAB源代码(Speech signal based on short-term energy source endpoint detection MATLAB)

说明：  一篇关于ofdm的论文，对毕业设计等都有好处(ofdm )

说明：  对连续小波变换进行了matlab仿真，程序完整，进过验证的。(Conducted on the continuous wavelet transform matlab simulation, program integrity, been to verify.)

k-means clustering, a very fundamental but also important approach for clustering

说明：   ()

FFT算法的实现，MATLAB仿真，验证，模拟(FFT SUANFA DE SHIXIAN ,FANGZHEN)

UAV models remonte control software for paramilitary unnamed wars.

说明：  K近邻算法（KNN）的matlab源代码，程序清晰易读(K neighbor algorithm (KNN) of matlab source code, and the program is clear and easy to read)

若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成 W（n+1）=w（n）+ e（n）x（n） =w（n）+ （3.1） 式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。 (Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.)