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A-A-Guide-to-MATLAB-for-Beginners-and-Experienced
This is a beginers guide to matlab. This text lays a concrete background of matlab.
- 2012-05-09 23:11:02下载
- 积分：1
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enframe
它是基于matlab的语音分帧的代码，相信对大家理解有帮助。(It is based on the matlab voice sub-frames of the code, I believe we understand help.)
- 2013-11-18 16:32:17下载
- 积分：1
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LWg
genetic algoruthme waveguide filter
- 2013-04-12 17:24:13下载
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Design-of-chaotic-circuit
详细描述混沌电路的设计过程和混沌的相关介绍有助于初学者学习(A detailed description of the design process of chaotic circuit and relevant introduction of chaos will help beginners to learn)
- 2015-01-25 19:19:37下载
- 积分：1
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GSCaMVDR
方向图合成GSC 自适应阵列处理P44 广义旁瓣相消器很好的解释了最优波束形成器的干扰抑制原理。内含 MVDR和GSC体系的波束合成，第三副图是静态方向图和干扰特征波束方向图。(Pattern synthesis of GSC adaptive array processing P44 generalized sidelobe canceller good explanation of the optimal beamforming device interference suppression principle.System containing MVDR and GSC beamforming, the third vice map is a static pattern and interference characteristics of beam pattern.)
- 2021-03-30 17:49:09下载
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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
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wave_idl
用于同时观察信号在时域和频域中的变化以及信号中的不同频率成分随时间的变化(For the simultaneous observation of different frequency components in the time domain and the signal spectrum of the signal changes over time)
- 2015-02-09 15:11:17下载
- 积分：1
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pca
用计算机方法来进行有用的图像识别，以方便大家查阅。(Image Recognition)
- 2012-10-29 22:53:47下载
- 积分：1
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LTE_init_generate_users.m
Get a cell assignment matrix of LTE user
- 2012-04-18 16:06:38下载
- 积分：1
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work
Calcul of entropie s image
- 2012-06-02 20:33:27下载
- 积分：1
