ccfx

关于信道仿真的源代码，内含信道模型的ppt，希望对研究信道的朋友有帮助(Channel simulation on the source code, including channel model ppt, hope that the study of channel friends have helped)

用BFGS算法求解无约束问题 是一种比秩1算法更有效的优化方法(Unconstrained problem with BFGS algorithm is an algorithm is more efficient than the rank of an optimization method)

用盖世圆的方法进行信源数的估计，是自己查资料然后写的程序，并已经测试过，估计结果的准确率挺高的。(Estimate the number of signal sources with matchless way round)

SOR方法解线性方程组的matlab程序例子（李庆扬数值分析例子）(SOR method to solve linear equations matlab program examples (examples of numerical analysis李庆扬))

基于matlab的连续时间信号傅里叶级数分析已经matlab的实现(Matlab-based Fourier series of continuous-time signal analysis has matlab realization)

emd 代码程序 音频信号的采集和分解，用来做经验模态分解实验。(emd-code program audio signal acquisition and decomposition, used as empirical mode decomposition experiment.)

图像分割方法水平集中的代码,在MATLAB环境中使用。(level set image segmentation)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

Frank-Wolfe算法 matlab(rank-Wolfe, matlab)

MATLABR2007教程以及i习题和答案，源码等，很好是清华出版社的(MATLABR2007)