QPSK

Matlab 求声音信号的包络的源代码 使用方法见说明(Matlab for the sound signal envelope of the source code)

路径规划中群蚁优化算法的源代码，可通过修改程序自由设置障碍和地形(Group of ants in the path planning optimization algorithm source code, modify the program free by obstacles and terrain)

说明：  自己用simulink搭建的FSK相干解调模型（有误码率分析）欢迎改进和交流 (Own use to build the FSK coherent demodulation simulink model (with bit-error rate analysis) welcomed the improvement and the exchange of)

This software is provided free of charge. As such, the authors assume no responsibility for the programs behavior. While they have been tested and used in-house for three years, no claim is made that biased ARTMAP implementations are correct or bug-free. They are used and provided solely for research and educational purposes. No liability, financial or otherwise, is assumed regarding any application of biased ARTMAP.

是将chow算法和camppelo算法结合的一种算法，附带源程序，有说明。(Chow is the combination of algorithms and an algorithm camppelo algorithm, with source code, there are instructions.)

additif noise gaussien (awgn) model

说明：  MATLAB有限元分析与应用的源代码，非常实用！(MATLAB finite element analysis and application source code, very useful!)

MATCOM提供了MATLAB到C++的编程接口，本文是MATCOM4.5的说明文档，详细介绍了MATCOM的各个函数和操作符等。(MATCOM MATLAB to C++ provides a programming interface, this article is MATCOM4.5 documentation, detailing MATCOM various functions and operators and so on.)

遗传算法是兼职编码求函数的极大值程序，比较详细。(A function or part-time coding genetic algorithm (ga) is a great value program, more detail.)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)