simpson

awgn信道下，卷积编码与M-QAM调制相结合的系统分组错误概率与信噪比的函数关系的matlab仿真程序(awgn channel, convolutional coding and M-QAM modulation system, the combination of packet error probability and SNR is a function of the matlab simulation program)

该代码是在matlab程序中实现的分数阶LU系统混沌，比较实用！(LUsystem chaos)

Matlab tutorial file

matlab勒让德 - 高斯求积,用于计算勒让德 - 高斯求积分(Gauss–Laguerre quadrature)

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)

说明：  连续信号的相关于褶积。本程序在matlab上已经测试，可以直接调用。(Continuous signal related to the convolution. This procedure has been tested in matlab can be called directly.)

基于H264 运动全搜索的三步算法malab实现的例程可以参考借鉴(Based on the three steps of the search algorithm of the H264 movement the malab to achieve the routine can be a reference for)

基于matlab/simulink的整车七自由度模型。(seven_dugoff vehicle model)

关于OFDM系统中PAPR降低技术的综述，以及验证PTS的降低特性(overview of the deduction on PAPR, a simple procedure to test the performance of PTS)

雪花状的光孤子在空间和时间中独立传播的MATLAB编程。(Snowflake-like soliton in space and time independent transmission MATLAB programming.)