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MATLABintetch
转贴的论文：MATLAB 在数字图像处理教学中的应用（pdf文挡)(decal transfer papers : MATLAB in digital image processing of Teaching (pdf text block))
- 2007-06-05 22:13:19下载
- 积分：1
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monituihuo
matlab中的模拟退火算法，帮您解决研究中的函数优化问题，一点通。(In matlab ，it can revolosion the problem about chath the rightes answer .)
- 2010-05-22 10:41:24下载
- 积分：1
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weather_station
from matlab.the file describe the finite element method
- 2011-11-07 22:09:19下载
- 积分：1
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c13
CIC滤波器的插值运算，并可以实现数字下变频的整个算法的研究，与仿真(design and simulink )
- 2012-03-31 17:35:32下载
- 积分：1
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bainsu
详细说明了有关变速不变调算法的基本原理以及在MATLAB上的实现(Detailed description of the basic principles relating to the same transfer speed algorithms and implemented on the MATLAB)
- 2015-04-23 20:07:52下载
- 积分：1
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plane-rotation
Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided
- 2013-08-07 19:49:12下载
- 积分：1
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runs
to check the uniformity of random numbers using runs up & down test
- 2014-10-07 15:10:06下载
- 积分：1
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B_ewma
单输入单输出，变增益的EWMA算法，MATLAB仿真代码(Single-input single-output, variable gain the EWMA algorithm, MATLAB simulation code)
- 2013-03-11 16:53:50下载
- 积分：1
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matlab-gear--procedure
matlab齿轮设计程序，直齿轮，角变位齿轮
(matlab gear procedure )
- 2013-03-19 23:22:01下载
- 积分：1
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NSGA-III
测试可以跑，根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个（原文献说最好与参考点个数相同）个体的初始种群，其中 N 是种群大小。接下来，算法进行迭代直至终止条件满足。在第 t 代，算法在当前种群 Pt的基础上，通过随机选择，模拟两点交叉（Simulated Binary Crossover，SBX）和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此，两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代，首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层（F1，F2等等）。然后，算法构建一个新的种群St，构建方法是从 F1开始，逐次将各非支配层的解加入到 St，直至 St的大小等于 N，或首次大于 N。假设最后可以接受的非支配层是 L层，那么在 L+ 1 层以及之后的那些解就被丢弃掉了，且 St FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取，选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)
- 2021-01-26 22:38:41下载
- 积分：1
