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003
本程序可以产生一组正态模拟数，用来模拟实际生产中服从或近似服从正态分布的数据，很有用。(This procedure can generate a group of normal simulation the number used to simulate the actual production or similar to obey normal distribution of data, very useful.)
- 2007-09-04 10:31:50下载
- 积分：1
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QAM16
该程序模拟仿真16QAM传输系统，有助于理解调制过程。(Simulation program to realize 16QAM transmission system)
- 2009-11-16 21:17:11下载
- 积分：1
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t1
说明： 在N=128时采用次优化迭代算法的PTS法与普通PTS法的PAPR性能比较。仿真参数：QPSK调制，V=4，P=4，取 。从程序的运行时间可知，采用次优化迭代算法，PTS法的复杂性可以大大降低。(In the N = 128 used sub-optimal iterative algorithm method and the general PTS PTS PAPR performance comparison method. Simulation parameters: QPSK modulation, V = 4, P = 4, to take. We can see from the program' s running time, using sub-optimal iterative algorithm, PTS method can greatly reduce the complexity.)
- 2011-05-26 16:38:34下载
- 积分：1
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stegno
Steganography for watermark encoding and decoding purpose used
- 2014-08-28 01:32:30下载
- 积分：1
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power_flow
基于牛顿-拉夫逊算法的电力系统潮流计算，简单易懂。(The power flow calculation based on Newton-Raphson algorithm, which is easy to understand.)
- 2014-09-21 20:19:46下载
- 积分：1
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gm1
灰色系统预测GM(1,1)模型的MATLAB详细源代码
(GM (1,1) model of gray system prediction the detailed MATLAB source code)
- 2013-03-06 16:50:28下载
- 积分：1
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ch1
operating systems introduction
what operating systems do
computer-system organization
computer-system structure
computer-system architecture
- 2015-01-11 22:40:06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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matlab5_code_mofdm2
MOFDM code , i m just a newbie, so i can t post anything i done, maybe i post these code i found on internet
- 2011-04-24 13:43:30下载
- 积分：1
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wuxufuwuai
Network authentication system - without the server version(Network authentication system- without the server version
)
- 2015-03-28 13:14:46下载
- 积分：1
