chaos-toolbox

this file is for matlab filters

SPIHT多级树集合分裂算法的基础知识，讲解详细，适合于入门者理解算法的基本思想。(SPIHT multi-level tree splitting algorithm is a collection of basic knowledge, to explain in detail, suitable for beginners to understand the basic idea of the algorithm.)

用mlp模型预测，用mlp模型预测，用mlp模型预测(use mlp model for prediction)

说明：  讲解数字PID很好的电子书，里面有现成的matlab源码，比较实用。(Digital PID on a good e-books, there are ready-made source matlab, more practical.)

基于小波变换的mallat算法，用于检测信号的奇异性，实现励磁涌流的鉴别(Based the wavelet transform mallat algorithm for detection signal singularity inrush current identification)

说明：  图像匹配程序，应用matlab将某给定图像在指定的图像集中找出与其最匹配的图像(Image matching procedures, the application of matlab image of a given concentration of the specified image to find its best matching image)

数学建模中常用的图论程序，经整理，有注释(Commonly used mathematical modeling of graph theory program, collated, annotated)

加速度计原始数据卡尔曼滤波,对加计原始数据的卡尔曼滤波matlab程序(Kalman filtering raw accelerometer data, plus the raw data for the Kalman filter matlab program)

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)

用MATLAB实现动态聚类或迭代自组织数据分析，有PMUSIC 校正前和校正后的比较，使用起来非常方便，信号维数的估计，欢迎大家下载学习，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，基于kaiser窗的双谱线插值FFT谐波分析，独立成分分析算法降低原始数据噪声。 ( Using MATLAB dynamic clustering or iterative self-organizing data analysis, A relatively before correction and after correction PMUSIC, Very convenient to use, Signal dimension estimates, Welcome to download the study, PV modules contain, MPPT module, BOOST module, inverter module, Dual-line interpolation FFT harmonic analysis kaiser windows, Independent component analysis algorithm reduces the raw data noise. )