PCNN_-Image_Fusion

很全面的matlab实例程序（100例）适合初学者掌握matlab基本命令。(Matlab is a comprehensive example programs (100 cases) for beginners to master the basic commands matlab.)

LZW text compresion with GUI..input the text compress it with LZW method

说明：  基于有限反馈的MIMO_空分复用预编码优化设计(MIMO_ based on limited feedback precoding spatial multiplexing Optimal Design)

minihelp to simulate in MATLAB for everyone, fot beginners too

大规模MIMO中球形译码检测算法的matlab代码函数(Scale MIMO sphere detection algorithm matlab code decoding function)

采用BP算法进行函数拟合，收敛速度较快。(BP function fitting algorithm, convergence faster.)

《雷达系统设计matlab仿真》书的源代码(matlab simulation code)

分数阶傅里叶变换的二维峰值搜索，针对线性调频信号的峰值能进行很好估计(D peak search Fractional Fourier transform for the peak chirp signal can be well estimated)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

Building applications with Mono