MATLAB--guide

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LVQ神经网络的分类——乳腺肿瘤诊断,包含源代码和数据(LVQ neural network classification- breast cancer diagnosis, including source code and data)

傅里叶变换的一个示例，傅里叶变换为matlab自带程序。(An example of the Fourier transform, Fourier transform matlab own procedures.)

聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。 (Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.)

说明：  lab颜色模型下的图像分割方法，在matlab下编写，对生物图像很有用的。(lab model of color image segmentation methods in Matlab to prepare for biological images very useful.)

说明：  FFT频域滤波，用于图像进行fft频域滤波变换，很实用的小程序。(failed to translate)

换能器阵元的不同排列组合决定其指向性，波束形成是多波束测量的关键技术。文中 通过数学计算总结了不同换能器阵进行波束形成的工作原理，并介绍了利用二维DFT进行频 域波束形成的一般方法。最后结合现役多波束测深系统，简单解释说明不同系统所采用的波束 形成技术。(Transducer using an array of different permutations and combinations to determine its directivity, beam formation is the key technology for multi-beam measurements. Summarized by mathematical calculations the transducer array beamforming works, and describes the general method of two-dimensional DFT in the frequency domain beam formation. Finally, the active-duty multi-beam sounding system, the simple explanation of the different systems used in beamforming technology.)

布谷鸟搜索（Cuckoo Search，缩写 CS），也叫杜鹃搜索，是由剑桥大学杨新社（音译自：Xin-She Yang）教授和S.戴布（S.Deb）于2009年提出的一种新兴启发算法[1]。 CS算法是通过模拟某些种属布谷鸟的寄生育雏（Brood Parasitism） [2]，来有效地求解最优化问题的算法[3]。同时，CS也采用相关的Levy飞行搜索机制。研究表明，布谷鸟搜索比其他群体优化算法更有效(Cuckoo search (Cuckoo Search, acronym CS), also known as cuckoo search by Cambridge Young Novosti (transliteration since: Xin-She Yang) inspired a new professor and S. Dai cloth (S.Deb) proposed in 2009 algorithm [1]. CS algorithms by simulating certain species of parasitic cuckoo brood (Brood Parasitism) [2], to efficiently solving algorithm optimization problems [3]. Meanwhile, CS also uses related Levy flight search mechanism. Studies have shown that, compared to other groups cuckoo search optimization algorithm is more efficient)

This is a matlab code and is a beneficial source code about imlut

1.在MATLAB中直接实现Marching Cubes; 2.使用了向量化和预分配的概念在MATLAB中优化; 3.用c-mex函数和GPU实现.(1. Marching Cubes is realized directly in MATLAB; 2., the concepts of VQ and pre allocation are optimized in MATLAB. 3. is implemented with c-MEX function and GPU.)