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dipum_1.1.4
说明： 这是冈萨雷斯数字图像处理MATLAB版本配套的源码，里版包含了书中所用到的所有作者编写的P文件，都可以直接应用，但不可以更改。(This is Gonzalez Digital Image Processing MATLAB version supporting source, where the book contains all the authors use to prepare the P document, can be applied directly, but not be changed.)
- 2008-11-04 21:50:18下载
- 积分：1
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T-norm-Operator
This is t norm operator in mathematics which has application in fuzzy logic
- 2013-01-12 14:58:27下载
- 积分：1
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仿真了用于MIMO雷达的OFDM OFDM Chirp correlation
仿真了用于MIMO雷达的OFDM Chirp波形的自相关函数和互相关函数，便于进一步优化OFDM Chirp波形，使互相关和自相关性能接近正交波形的性能，从而提高雷达目标检测性能。因为匹配滤波相当于一个互相关器。附有所仿真波形的参考文献，波形设计见本人之前上传的文件(this matlab program simulate the correlation function of ofdm chirp waveform,so that reader can optimizing design new ofdm chirp waveform.from the simulation results we see that the correlation performance are not well enough,so we have to optimize the ofdm chirp.there is reference of my simulation.)
- 2021-03-01 22:29:34下载
- 积分：1
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matlab-simple-GA
在matlab下实现的遗传算法编程，希望对遗传算法的初学者有所帮助(In matlab genetic algorithm to achieve programming, genetic algorithm would like to help beginners)
- 2008-01-19 10:47:15下载
- 积分：1
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singular-value-decomposition
singular value decomposition
- 2012-01-24 19:03:57下载
- 积分：1
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Counter
KNN classifiers,
training is training set, testing is test set,
D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm
K is the number of selected neighbors
- 2010-05-14 18:49:52下载
- 积分：1
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KineticsEst1_int1
用积分法进行反应速率分析得到速率常数k和反应级数n(Integral method for analysis of the reaction rate by the rate constant k and reaction order n)
- 2010-09-24 22:20:06下载
- 积分：1
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DiamondSearch
视频运动估计中快速块匹配方法 菱形搜索(The video motion estimation based on fast block matching Diamond Search)
- 2012-11-04 16:58:47下载
- 积分：1
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median
The median filtering algorithm on matlab
- 2010-06-23 03:19:52下载
- 积分：1
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kmedian
The method works as follows.
1. For a data set with dimensionality, d, compute the variance
of data in each dimension (column).
2. Find the column with maximum variance call it cvmax
and sort it in any order.
3. Divide the data points of cvmax into K subsets, where K is
the desired number of clusters.
4. Find the median of each subset.
5. Use the corresponding data points (vectors) for each
median to initialize the cluster centers.
- 2013-08-10 03:45:31下载
- 积分：1
