tamrin1-2-AND_OR_NOT

认知无线电的频谱检测算法的MATLAB实现，完整版。(Cognitive radio spectrum detection algorithm of the MATLAB realization of the full version.)

蜂窝小区的程序，是多小区的,讲的比较细致，可以看看(multi-cell easy )

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Validity Measures for the Fuzzy Cluster

psk ask fsk的matlab实现，适于通信初学者学习参考之用！(psk ask fsk the matlab implementation, suitable for beginners to learn reference communication!)

波达方向估计算法仿真中的基于解相干的MUSIC源程序 中的矩阵分解算法(Simulation of DOA estimation of MUSIC-based decoherence source in the matrix decomposition algorithm)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

一个简单的文本匀齐排版程序源代码，基于WIN32控制台的(A simple text smoothing Qi typesetting program source code, based on WIN32 console)

说明：  在matlab仿真环境下，对直扩通信系统的同步算法及其流程进行说明(Matlab simulation in the environment, on the DS communication system synchronization algorithm and its process description)

说明：  这个代码是双重水印，采用MATLAB编写，两lsb dct 俩种方法。比较适合做小项目，或者入门看。(This code is dual watermark, using MATLAB to prepare, two lsb dct two ways. More suitable for small projects, or entry look)