pengtaiyu2

经验模式分解（EMD）是处理非线性，非平稳信号的一种有效算法。本论文是黄锷先生关于算法的描述(Empirical Mode Decomposition (EMD) is linear and non stationary signals an effective algorithm. Mr. Huang E of this paper is the description on the algorithm)

Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds

说明：  信号频谱分析，倍频程算法matlab程序，1/N倍频程(Signal spectrum analysis, octave algorithm matlab program, 1/N octave)

快速的2D/3D区域生长算法，通过对邻近像素进行优先级排队进行加速，效果优于matlab本身的区域生长算法(Native Matlab implementations of region growing algorithms are usually quite slow, especially for 3D input data. This submission is a mex implementation of a 3D/2D region growing algorithm. The region growing process is further accellereated by using priority queues for the neighbourhood pixels.)

数据分析以及数据回归，优化运行以及基本算例。(data analysis)

ECG DENOISING USING WEINER FILTER

实现扩频里随机信号和伪码序列的产生，以及扩频信号的产生，用本地载波实现bpskt调制，在接收端用差分相干积分完成伪码捕获的相应MATLAB程序(Spread spectrum signal generated in the realization and pseudo random code sequence, and generate a spread spectrum signal modulation to achieve bpskt local carrier, at the receiving end with the completion of the pseudo-differential coherent integration of the corresponding MATLAB code acquisition program)

基于电磁矢量传感器的多项式信号源DOA和极化估计(Polynomial source DOA and polarization estimation of electromagnetic vector sensor)

This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1) + now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! (This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1)+ now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! )

一种有效的降维方法的源代码，原始的，可以很方便的改进。(it is easy to understand, monifoid leaning)