to-matlab-Billiards-animation

芬兰作者提出的FastICA算法，用以解决盲源分离问题，我编写了一个主程序，调用其已经编写好的功能函数，可以查看仿真结果。(Finland FastICA algorithm proposed by the authors to solve the blind source separation problem, I wrote a main program, calling its already written performance function, you can view the simulation results.)

matlab的源码工具箱，一些函数的M文件(matlab source toolbox, some functions of the M-file)

LMS自适应滤波器做系统辨识，输入为高斯白噪声，可运行，有注释(LMS adaptive filter to do system identification, input Gaussian white noise can be run by a comment)

针对三相桥式整流电路的谐波和无功功率的特点，提出几种滤波方案，并进行比较，最终确定了用有源滤波方案。对于有源滤波器，本论文从结构上比较后选用并联电压型有源滤波器。(The thesis introduces several kind of filter schemes, which is aimed at the harmonic characteristic of three-phase bridge rectifier circuit .After comparison,the thesis chooses the active filter scheme,in view of the active filter, after the comparesion of structure,finally, the thesis chooses the parallel-voltage active filter.)

模态处理相关程序，包括时域，频率，自普，互普，相干，频响，时频分析，HHt，随机减量法等等，很不错，可以借鉴(Modal treatment-related procedures, including time domain, frequency, since the S & P, each P, coherence, frequency response, time-frequency analysis, HHt, random decrement method, etc., very good, can learn)

aoutomatic park count

Demo of some Garch models, include ugarch, dcc-garch, ica-garch, and neural network garch, and ica-nn-garch. the last two model are proposaed by me

信号为两个正弦信号加高斯白噪声，用levinson递推法进行功率谱估计。(Signal for two sinusoidal signal plus Gaussian white noise, with levinson recursive power spectrum estimation method.)

User Manual for STABLE 5.1(This manual gives information about the STABLE library, which computes basic quantities for univariate stable distributions: densities, cumulative distribution functions, quantiles, and simulation. Statistical routines are given for fitting stable distributions to data and assessing the fit. Utility routines give information about the program and perform related calculations. Quick spline approximations of the basic functions are provided. Densities, cumulative distribution functions and simulation for discrete/quantized stable distributions are described. The multivariate module gives functions to compute bivariate stable densities, simulate stable random vectors, and fit bivariate stable data. In the radially symmetric case, the amplitude densities, cumulative distribution functions, quantiles are computed for dimension up to 100. The signal filtering module includes functions to compute non-linear filters for signals with heavy tailed noise. Specifically, a novel stable fi)

从多层树中取得偶数生成列，取得动态目标值的个数，从两个不同的树中，提取第二个树中独有的元素（和第一个树的元素不同的元素），并计算其和。(Generated columns to obtain an even number, the target value obtained from the dynamic multi-tree, from two different tree, extracts a second element that is unique in the tree (a tree of elements and different elements), and and calculate its.)