xinhaobuhuo

说明：  引入错误报告概率对协作检测的影响仿真程序(Influence Of Wrong Report In Cognitive Radio)

material for tracking

pattren matching the DP algorithm

video demonstration a a a

地球物理学地震子波以及合成记录模拟原代码.(Geophysical seismic wavelet, and synthetic seismogram simulated the original code.)

LMS算法是一种很有用且很简单的估计梯度的方法。这种算法60年代初得出以后很快得到应用，它的突出优点是计算量小易于实现，且不要求脱线计算。只要自适应线性组合器每交迭代运算时都知道输入信号台和参考响应，那么，选用LMS算法是很合适的。(LMS algorithm is a very useful and very simple estimate of the gradient method. The algorithm reached 60 soon after the early applied, it is to calculate the amount of the outstanding advantages of a small easy to implement, and does not require off-line calculation. As long as the adaptive linear combiner time per each iteration all know that Taiwan and the reference input signal response, then the selection of LMS algorithm is very appropriate.)

skin segmentation base on RGB color space. does not work for gray level images

偏微分方程组求解,一维动态偏微分方程MATLAB实例(solving PDEs)

降低OFDM系统中PAPR的PTS改进算法—双层次相位法。可行。出CCDF比较图(Reduce the PAPR of OFDM system PTS improved algorithm- double the level of phase-based method. Feasible. Comparison of the CCDF)

实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models)