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Matlabbasedonthegeneticalgorithm
运用MATLAB编程实现遗传算法，数值仿真验证该方法的有效性，表明它能够对函数进行全局寻优。这种实现方法既可以熟悉MATLAB语言，又可以加深对遗传算法的认识和理解，以此来设计智能系统(Programming using MATLAB genetic algorithm, numerical simulation to verify the effectiveness of the method, that it is able to function for global optimization. This method can be familiar with the MATLAB language, but also better understanding of the genetic algorithm can be awareness and understanding in order to design intelligent systems)
- 2009-05-18 00:16:54下载
- 积分：1
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AC-DC-Converter
AC-DC Converter notes
- 2014-11-13 16:20:49下载
- 积分：1
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matlabgaij
基于改进的matlab工具箱，主要用于遗传算法(Matlab toolbox based on an improved, mainly for genetic algorithm)
- 2009-12-28 10:00:20下载
- 积分：1
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bound2im_pfile
Matlab pfile for converting a boundary to a binary image.
- 2009-06-27 08:58:26下载
- 积分：1
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PSNR
求解两幅压缩前后图片A和B之间的峰值信噪比(To find the PSNR (peak signal-to-noise ratio) between two intensity images A and B, each having values in the interval[0,1]. The answer is in decibels (dB).)
- 2010-05-06 15:46:30下载
- 积分：1
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SC_FDE_system_frequency-domain-equalization-algori
。本文研究了SC-FDE系统中的最小均方误差判决反馈
均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法，
MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟
踪信道变化并更新均衡器的抽头系数，其性能略优于最小
均方误差判决反馈均衡算法。(. In this paper, the SC-FDE system, the minimum mean square error decision feedback
Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms
MATLAB simulation results show that LMS adaptive equalization algorithm as effective with
Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum
Mean square error decision feedback equalization algorithm.)
- 2010-05-12 21:29:59下载
- 积分：1
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MVDR_ST
说明： 使用MVDR算法进行波束形成并处理宽带信号，该算法分频带进行处理，并最后给出了波束图。(MVDR algorithm is used for beamforming and broadband signal processing. The algorithm divides the frequency band for processing, and finally gives the beam pattern.)
- 2020-06-18 20:40:01下载
- 积分：1
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GLCM
说明： 灰度共生矩阵提取纹理特征，极快的MATLAB代码(GLCM texture feature extractionfast MATLAB code)
- 2011-03-16 15:39:07下载
- 积分：1
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find--k-best-1.00
Implementation of the Murty algorithm to obtain the best K assignments. Includes the implementation of the Jonker-Volgenant algorithm.
Usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Multiple Hypothesis Tracking (MHT), Global Nearest Neighbours (GNN), etc.
Based on the original code by Jonker-Volgenant, and the Murty Matlab implementation by Eric Trautmann
Can be used both from Java or Matlab.
Time for a 100x100 assignment problem, with k=20:
• Matlab implementation: 54.5 sec
• Java implementation: 1 sec
- 2012-06-11 02:34:33下载
- 积分：1
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mppt_incc
mppt_incc is incremental conductance
- 2014-01-29 01:05:28下载
- 积分：1
