cthd39-40

MATLAB入门教程,从基础知识开始介绍的一个好文档。非常适合用matlab进行可视化编程。(MATLAB Tutorial, start from the basics of a good presentation document. Very suitable for visualization using matlab programming.)

该程序模拟了经典双稳系统随机共振中，噪声强度与系统做功的关系(The program simulates the classical stochastic resonance in bistable system, the relationship between noise intensity and the system to do work)

图像demasaicing 方法， 两种一种是线性，一种是nearest(two ways to demasaicing, nearest and linear, the image is bayer )

A blind source separation algorithm is proposed that is based on minimizing Renyi’s mutual information by means of nonparametric probability density function (PDF) estimation. The two-stqge process consists of spatial whitening

在MATLAB环境下的量子进化算法及先进的量子旋转门(In the MATLAB environment, the quantum evolutionary algorithm and advanced quantum revolving door)

解光纤中光耦合的耦合波方程源码（归一化能量谱）(Solutions for fiber optically coupled to the source coupled wave equation (normalized energy spectrum))

利用ccs环境、MATLAB环境、DSP（TMS320F2812)、被测对象和Agilient网络分析仪E5071B，构建一个自动测量系统。 相信大部分人都知道基于NI公司的GPIB总线，可以实现自动测量，但NI公司的方案实在太昂贵，采用MATLAB能够大大降低成本。matlab与ccs之间基于RTDX协议进行数据交换，同时matlab基于TCP/IP协议与E5071B之间通信，源码说明如下： （1）RTDX_ok目录：matlab7.0代码，包含了一个用GUI实现的界面和相关的具体代码，特别是在其中实现了SCPI语言来对仪器进行控制。 （2）TMS320F2812目录：包含ccs下的c代码，如果没有做过RTDX的应用，相信这个对你很有启发。(Use ccs environment, MATLAB environment, DSP (TMS320F2812), the measured object and Agilient network analyzer E5071B, construct an automatic measurement system. I believe that most people are aware NI' s GPIB-based bus, you can realize automatic measurement, but NI' s program is too expensive, the use of MATLAB can greatly reduce costs. ccs between matlab and RTDX protocol-based data exchange, while matlab based on TCP/IP protocol and communication between the E5071B, the source described as follows: (1) RTDX_ok directory: matlab7.0 code, contains a GUI implementation with the interface and specific code, especially in one of implementation of the SCPI language to control the apparatus. (2) TMS320F2812 directory: contains ccs of c code, if not done RTDX application, then I think it was very instructive for you.)

Reading, Filtering, Normalization, and Optimum Threshold Calculation of Electromyogram Signals

基于matlab进行语音信号的处理 基于matlab(Based on voice signal processing matlab matlab-based)

Runge-Kutta for lorenz equation