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EX09_04
关于Google Map的源码,用于定位所在的位置，相当实用(The code for Google Map)
- 2010-03-11 22:27:39下载
- 积分：1
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IO
说明： 控制安捷伦矢量信号源，在本地计算机上产生一个信号然后传入信号源，本代码含若干练习性的源代码，结合自己大量的调试经验，在signal1.m中对初学者甚至经常使用的用户极易犯得错误进行了详细标注，(Matlab generate data in the waveform file, downloaded to the Agilent signal sources. By reading it, you will get a lot.)
- 2021-01-26 22:38:41下载
- 积分：1
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Matlab-of-GMSK.QPSKBPSK
仿真BPSK、QPSK、GMSK等基本调制方式。(Simulation BPSK, QPSK, GMSK modulation scheme.)
- 2013-05-11 03:34:59下载
- 积分：1
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Matlab-Xfoil
使用Matlab语言生成Xfoil的计算文件，并调用Xfoil快速计算翼型的气动力(Using Matlab language generation Xfoil calculation file and call Xfoil quick calculation of aerodynamic airfoil)
- 2020-10-26 16:19:59下载
- 积分：1
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NewK-means-clustering-algorithm
说明： 珍藏版，可实现，新K均值聚类算法，分为如下几个步骤：
一、初始化聚类中心
1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。
2、用前C个样本作为初始聚类中心。
3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。
二、初始聚类
1、按就近原则将样本归入各聚类中心所代表的类中。
2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。
三、判断聚类是否合理
采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps:
A, initialize clustering center
1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center.
2, with former C a sample as the initial clustering center.
3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center.
Second, initial clustering
1, according to the sample into the nearest principle clustering center represents the class.
2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class.
Three, judge clustering is reasonable
Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)
- 2011-04-06 20:45:56下载
- 积分：1
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0471420999
Image Processing and Jump Regression Analysis ebook
- 2010-11-28 20:57:14下载
- 积分：1
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ParticleSwarm
智能算法研究的书籍，可以研究粒子群的发展以及其现在的研究状况(Intelligent algorithms book, you can study the development of PSO and its current research status)
- 2010-12-08 11:44:03下载
- 积分：1
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weighted_total_least_squares_approximation
The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another.
KEYWORDS: Total least squares, generalized total least squares, software implementation.
- 2008-08-03 14:59:07下载
- 积分：1
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Jpg_qualtrans
在图像处理实验中，有时需要对图像进行精确质量因子的JPEG压缩，而photoshop和一般的图像处理软件并不具备，本程序利用matlab实现该功能，并支持批处理(将待处理图像放入src文件夹，dst文件夹为输出)(In image processing experiments, sometimes the need for accurate image quality factor of JPEG compression, and photoshop and general image processing software does not have this program using matlab realize this function, and supports batch processing (image to be processed into the src folder, dst folder for output))
- 2014-10-09 23:20:23下载
- 积分：1
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61046606ABCNNTrain
Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */
- 2013-12-10 16:40:45下载
- 积分：1
