lowpass_transform_coding.m

一些常用的matlab图像处理方法源程序代码，以方便大家使用(the common Image processing methods based on matlab )

说明：  一个用MATLAB写的界面，功能是出现一个界面，捕获鼠标信息，如果点击界面区域就会返回共点击的次数。(a matlab file with gui)

动态PCA方法，引入动态时间l，考虑变量本身的时序自相关性，同时还分析变量之间的时序相关性,把PCA方法应用到动态数据矩阵。 (Dynamic PCA method, introducing dynamic time l, consider the timing of the variable itself autocorrelation, also analyzed the correlation between the timing variables, the PCA method is applied to dynamic data matrix.)

image regognition using matlap and improving. done by me in lab session

详细讲解了小波变换原理，运用。matlab的小波工具箱等。对初学者有较大的帮助。(Elaborate on the principles of wavelet transform, apply. matlab wavelet toolbox and so on. For beginners, a greater help.)

Simple show in 3D model of Single-slit diffraction.

BodyBuilder is a MATLAB-based application that provides a graphical means to create Body Blocks for use in SimMechanics. It is hoped that the interested users will also use BodyBuilder to explore MATLAB s Object-Oriented Programming Language, which is part of the general release of MATLAB as of R2008a. Indeed, users are encouraged to extend BodyBuilder to serve their own needs. Some ideas for Customizing BodyBuilder are provided in the User s Guide.

elevator contoller to control the movement of lift

压缩感知matlab代码，在欠采样的条件下实现模数转换。在超宽带和频谱混叠的情况下亦可通过本软件仿真。具有较高的参考价值。(Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral support. A more challenging problem is spectrum-blind sub-Nyquist sampling of multiband signals. For example, cognitive radio receivers face with this kind of problem whenever sensing the RF spectrum at their surroundings. The modulated wideband converter (MWC) is the first system for sub-Nyquist sampling, which can be realized with existing devices and handle wideband analog signals.)

《MATLAB神经网络30个案例分析》中的第11个例子，案例11 连续Hopfield神经网络的优化-旅行商问题优化计算。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 11 examples, case 11 continuous Hopfield neural network optimization- traveling salesman problem optimization calculation. Hope to have certain help to everybody! )