LDA

matlab的滤波器，有菜单选择，高通，带通和低通，并且内有一个音频文件(matlab filter, there is the menu selection, high-pass, band-pass and low pass, and inside there is an audio file)

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.)

vrml to smf convert use for 3d image

FourierICA是一种无监管的自适应学习方法，用于盲源分离问题，将短时傅里叶变换STFT与独立分量分析ICA相结合。(FourierICA is an unsupervised learning method suitable for the analysis of bss.The method performs independent component analysis(ICA) on short-time Fourier transforms of the data. )

Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value. Whereas the conventional thresholding operator uses a global threshold for all pixels, adaptive thresholding changes the threshold dynamically over the image. This more sophisticated version of thresholding can accommodate changing lighting conditions in the image, e.g. those occurring as a result of a strong illumination gradient or shadows.ff

详细介绍了编码原理的基础知识，是编程的入门级必备教材(Details the basics of coding theory, is an essential textbook entry-level programming)

离散灰色预测模型和AR预测模型的组合预测，matlab(Discrete gray prediction model and predict the combination of AR prediction model, matlab)

离散信号用MATLAB实现 典型的离散时间信号的MATLAB实现，离散时间序列的基本运算(Discrete signal using MATLAB to achieve a typical discrete-time signals in MATLAB realization of discrete-time sequence of basic operations)

说明：  这是作者自己编写的基于matlab语言的程序设计。遗传算法的函数优化 应用。 (is prepared by the author himself on the Matlab programming language. Genetic Algorithms Optimization applications.)

DFBREC_L Directional Filterbank Reconstruction using Ladder Structure x = dfbrec_l(y, fname) Input: y: subband images in a cell vector of length 2^n f: filter in the ladder network structure, can be a string naming a standard filter (see LDFILTER)