qpskd_1

factorial numbers, factorial numbers,factorial numbers

实现希尔伯特-黄变换的功能，并带有一段测试数据。希尔伯特-黄变换是使用EMD分解将信号分解为本征模态函数（IMF），然后求得IMF分量的瞬时频率。其对于非稳态和非线性信号具有优良的效果。(The function plot_hht is a realization of the Hilbert-Huang transform (HHT). The HHT decomposes a signal into intrinsic mode functions (or IMFs), and obtain the instantaneous frequency data. It is designed to work well for data that are nonstationary and nonlinear.)

Matlab源码，模拟量子密钥分配，simulate Quantum Key Distribution (QKD） (Using Matlab to simulate Quantum Key Distribution (QKD) )

仿真2*2MIMO通信系统ML、ZF、MMSE检测算法性能，给出三种检测算法的误比特率。(Multi-input multi-output (mimo) communication system simulation 2* 2 ML, ZF and MMSE detection algorithm performance, the bit error rate of three detection algorithms is given.)

OFDM communication simulink

很经典的蚁群算法的matlab源码，也可以用c++实现，不过要复杂很多，用matlab比较简单。(classic ant colony algorithm source Matlab can also use the c achieve, but many complex, Matlab using relatively simple.)

Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapelet basis functions results in an implicit integration of the surface while enforcing surface continuity. Note that the reconstruction is only valid up to a scale factor (which can be corrected for). However the reconstruction process is very robust to noise and to missing data values. Reconstructions (up to positive/negative shape ambiguity) are possible where there is an ambiguity of pi in tilt values. Low quality reconstructions are also possible with just slant, or just tilt data alone. However, if you have full gradient information you are better off with the Frankot Chellappa algorithm below.

遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群(Genetic algorithm,GA,SGA)

用MATLAB实现的RSA。界面友好，可加密任意长度字符串。(MATLAB RSA. Friendly interface, encryption arbitrary length of the string.)

复杂网络的一些代码，方便研究复杂网络的一些人员使用，大师所写(Complex network mapping, statistical characteristics of a large number of source code, can be directly used)