Build_Noiselets

matlab强大软件，功能齐全，数学建模专业软件(matlab powerful software, functions, mathematical modeling software)

说明：  matlab绘制三维地形图，包含数据和程序，是2011建模题(sfhjrt rtrthrth)

A code to fit a curve on sampled data using moving least squares method. MLSM is generalized form of weighted least squares and firstly introduced to use in meshless Finite Element Method (FEM). The main feature of this method is that the weight function is updated from point to point which enables the user to control “closeness of fit”.This code is performed for 1D fitting and is tested on a sinusoid function.

Motion Tracking =============== This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentially numbered images available. After entering the path and file types the tracker will begin processing. Once the data window appears the algorithm begins building a background model and attempts to track objects. By clicking on any of the four subwindows you can investigate the background representation (a Mixture of Gaussians) of any pixel. The two windows that then appear display the mixture once as a two-dimensional scatter plot (ignoring the blue colour component), and once as a one-dimensional evolution of the red colour component only. These plots make the internal processing visible and should help determining suitable parameters to be set in mixture_parameters.m.

说明：  这个是全英版的matlab的全部中文翻译，有利于初学者的学习。(This is the UK version of the full Chinese translation of matlab is conducive to learning for beginners.)

2ASK的链路仿真，信号源的产生，PCM编码，调制解调以及加燥 (2 fsk link simulation signal source, PCM coding and modulation demodulation and dry)

极大似然算法辨识程序, 系统辨识里面常用的辨识方法(Maximum likelihood algorithm for identification procedures, system identification methods which identification of common)

基于matlab的DCT图像压缩算法 （压缩效果对比）(DCT-based image compression algorithm matlab )

Regularization Tools Version 3.0 for Matlab 5.2

PROGRAMME DE SEGMENTATION