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p
说明： 现代数字信号处理的经典功率谱估计方法例程,有详细备注解释(A classic of modern digital signal processing power spectrum estimation routines, contains a detailed explanation Remarks)
- 2009-11-17 13:11:10下载
- 积分：1
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gprmax-geoaout
GPRMAX2.0中读取geo、out文件的命令。(file command to GPRMAX2.0 in using to read geo&out file.)
- 2013-08-19 17:07:50下载
- 积分：1
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patch
this matlab code calculate the input impedance and current distribution of microstrip patch antenna with coax excitation in different place.
- 2010-08-02 03:18:33下载
- 积分：1
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pro_lib
关于信号处理中的自适应算法的常用算法集，希望能对相关人士有所帮助！(On signal processing algorithms commonly used set of adaptive algorithms, hoping to help the relevant parties!)
- 2010-08-25 20:00:52下载
- 积分：1
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TCM_vit
说明： 通信传输过程中使用TCM 维特比编译码的源程序 包括编码和解码两个子程序，可以绘出误码率曲线(Communication transmission TCM Viterbi decoding using the source code, including encoding and decoding of two subroutines, you can draw the curve of bit error rate)
- 2011-03-16 20:43:15下载
- 积分：1
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supp3
Kernel Orthogonal PLS Supp3
- 2014-11-16 16:34:01下载
- 积分：1
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computing
一个关于matlab的GUI界面的计算器软件(A GUI interface for matlab calculator software)
- 2011-11-24 16:20:07下载
- 积分：1
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matlab-realization-of-frft
frft的matlab实现，可以用于数字信号处理或图像加密(these programmes are matlab realization of frft that can be used in digital signal processing or image encryption)
- 2014-01-22 15:12:53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
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Matlab-GUI-Design
how to make GUI design in Matlab
- 2010-12-17 15:45:52下载
- 积分：1
