gauss-seidel

Power ystem simulation for Load frequency controller

核反应堆LQG/LTR控制器设计实例，有较好的学习意义，值得一看(Nuclear reactor LQG/LTR controller design example, a better sense of learning, worth a visit)

Integrator for second-order ODE s with very stringent error tolerances.

主要是关于彩色图像边界提取的源代码。里面包含有待处理的图片以及所有的源代码，即M文件。(Mainly on the color image edge extraction of the source code. Which contains the picture to be addressed, as well as all the source code, that is, M documents.)

该代码提供了MATLAB与VISUAL C++的接口编程，为MATLAB可视化编程提供了方便(The code provides a MATLAB with VISUAL C++ Interface programming, visual programming for MATLAB provides a convenient)

forming of a signal, GLONASS system, coherent reception, graph autocorrelation, crosscorrelation function, bit-error probability[SNR]

说明：  MATLAB编写的经典粒子群程序，实现最基本的函数优化功能。(MATLAB program written in the classical PSO, to achieve the most basic function optimization.)

matlab相关矩阵操作及相关实例，MATLAB，即“矩阵实验室”，它是以矩阵为基本运算单元。(Matlab correlation matrix operations and related examples, MATLAB, that is, " Matrix Laboratory" , which is the matrix for the basic computing unit.)

本程序执行CDMA仿真并确定半马尔克夫模型，输出为误比特率以及所需的游程。希望你能喜欢。(this program simulated the CDMA and get the HMM .the ouput are ber and run-length. i hope you can like it )

Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp (Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp)