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demoheart
matlab code for heart demo
- 2009-10-01 13:33:58下载
- 积分：1
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lvboqi
一个很好的滤波器程序，是用MATLAB编写的M文件，虽然简单，但很有借鉴意义。(a good filter procedure is the use of MATLAB M documents, simple, But a useful one.)
- 2007-06-10 18:59:17下载
- 积分：1
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SpectrumSensing-Double-threshold
频谱感知 双门限协作感知仿真程序 仿真例程(spectrum sensing )
- 2014-01-15 10:11:58下载
- 积分：1
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1671-5497(2012)06-1587-05
基于压缩感知的自适应干扰抑制算法.PDF(Adaptive interferenc emitigation algorithm based on compressed sensing)
- 2014-02-02 15:36:26下载
- 积分：1
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song_yyjjxq
利用matlab编程实现音乐义勇军进行曲的演奏，已保存为m-文件，可直接运行(Using matlab programming Anthem playing music, saved for the m-file, can be directly run)
- 2013-08-08 15:40:49下载
- 积分：1
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bihuanshuruSVMnixitong
lssvm辨识系统逆模型 采用最小二乘支持向量机工具箱(lssvm identifine the pozitive model)
- 2012-12-04 14:22:07下载
- 积分：1
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advisor2002
电动汽车动力性，爬坡性，续驶里程等性能仿真(The electric car performance simulation
)
- 2013-09-10 15:28:20下载
- 积分：1
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fre_offset_estimate
频偏估计 oqpsk qpsk，仅供参考 (Applicable to QPSK OPSK frequency offset estimation, the measured very accurately)
- 2015-01-21 17:00:47下载
- 积分：1
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AnalysenumeriqueMatlab
Book analyse numérique
- 2013-12-23 18:27:44下载
- 积分：1
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D_star_PathPlanning-master
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)
- 2021-04-17 17:50:13下载
- 积分：1
