Non_mon-Newton

二维和三维图像配准技术的研究，对图像匹配的运用(Of two-dimensional three-dimensional image registration techniques)

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)

orthogonal frequency division multiplexing

偏微分图像复原代码，有多种方法，复原效果很好(Partial image restoration code, there are various methods to recover a good effect)

改进根升余弦成型滤波，信噪比可达-70dB，性能较标准升余弦提高较大，在TVB2脉冲成型中仿真验证过(Improved root raised cosine shaping filter, SNR up to-70dB, performance than the standard raised cosine larger increase in pulse shaping TVB2 verified in simulation)

采用matlab编写的复化梯形公式求解方程(Trapezoid formula and solve complex equations)

对网络划分社区,并找出最大的社区,很有用的程序(Find the largest giant component)

采用直接发在matlab中进行功率谱密度计算 (Direct hair for power spectral density calculation in matlab)

Como Escrever Para a Web , escrito por Guillermo Franco, foi publicado pelo Centro Knight for Journalism in the Americas e traduzido para o português pelo jornalista brasileiro Marcelo Soares. Com exemplos práticos, ensina como escrever para a web e como pesquisar por meio de outras fontes. O autor o considera um ponto de partida para um guia mais abrangente sobre como escrever para publicaç õ es online.

matlab SERIAL COMMUNICATION WITH ARDUINO