matlab-(2)

有关MATLAB的插值，拟合和线性回归的学习教程。(The MATLAB interpolation, fitting, and linear regression learning tutorial.)

This a matlab code that simulate the monte-carlo simulation of using 16-QAM with OFDM system under AWGN case.

a function that write seeds for rand and randi based on current time

四阶Runge-Kutta法解常微分方程组(Fourth Order Runge-Kutta Method for Solving Ordinary Differential Equations)

lms基本算法有利于广大学生学习。 lms基本算法有利于广大学生学习。(LMS algorithm is conducive to the broad masses of the basic learning. LMS algorithm is conducive to the broad masses of the basic learning.)

export figure : to export figure from matlab easily and efficiently

The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Computer Vision Approaches to Medical Image Analysis and Mathematical Methods in Biomedical Image Analysis, p. 230-245, May 15th, 2004, Prague, Czech Republic, Springer-Verlag. Available at: http://cns.bu.edu/~lgrady/grady2004multilabel.pdf

设计一个滤波器滤除正弦信号中的噪声，还原正弦信号。正弦信号为sin100t，噪声信号是均值为0、方差为1的高斯白噪声。信号采样频率为2000 Hz。(The design of a filter to filter out the noise in the sinusoidal signal, restoring the sinusoidal signal. Sinusoidal signal sin100t, and noise signal with mean 0 and variance 1 Gaussian white noise. Signal sampling frequency of 2000 Hz.)

是“MATLAB混合编程与工程应用”一书的源码，该书高洁和孙新德编著 清华大学出版社出版 2008年5月 本书以MATLAB最新版本R2006a为蓝本，系统介绍了MATLAB混合编程的最新技术。全书共分11章，第1和第2章概述了 MATLAB混合编程的发展状况及基本方法，第3至10章分别介绍了几种典型的混合编程方法，包括使用MEX、MATLAB Engine、MATLAB ACTIVEX、Mideva、MATLAB Builder for .NET、MATLAB Web Server进行混合编程，以及MATLAB和Visual Basic、Excel等混合编程。第11章以数字水印技术为例介绍了MATLAB混合编程在工程中的典型应用。 本书按照混合编程常用方法进行编写，第3至10章的每章都为一个独立单元，读者可以任选其中一章或几章进行学习，每章重点阐述一种混合编程方法的实质和要点，实例描述贯穿始终。 本书不仅具有理论深度与广度，而且注重实用，实例丰富，特别是通过作者在数字水印方面的研究成果，提供了理论分析与应用案例。 本书可以作为高等院校计算机及信息相关专业的教材或参考书，也可供广大科技工作者参考。(err)

人工蜂群ABC算法在Matlab下的源代码，在四种基准目标函数下，经仿真测试均可成功运行，适合初学ABC算法的人参考(Artificial bee colony ABC algorithm in Matlab source code in four benchmark objective function, the simulation can be run successfully tested, suitable for beginners ABC algorithm Reference)