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matlab中的第8章 数据拟合（包含例子和程序源码）(Chapter 8 of the matlab data fitting (including examples and program source code))

层次分析法(APH)采用matlab的m文件编写的，请运行m文件，可以根据提示进行数据的分析(Analytical Hierarchy Process (APH) using matlab m file write, run the m file, the data can be analyzed according Tips)

现代通信系统（matlab版）（第二版）配套源代码 John G. Proakis等著 刘树棠 译 电子工业出版社出版(modern communication system (Matlab version) (2nd Edition) source code supporting John G. Proak Liushutang is waiting for the translation of the electronics industry published)

用C语言在matlab中实现移位寄存器的程序编写，并实现其功能，效果还可以，大家可以看看。(shift register)

K-nearest neighbors 搜索 聚类时经常使用的一种方法 国外网站转载( The following utilities are provided: - Nearest neighbor - K-Nearest neighbors - Radius Search They al supports N-dimensions and work on double, it is possible to choose if return the distances. Here is a time comparison with a vectrized m-code: N=1000000 number of reference points Nq=100 number of query points dim=3 dimension of points k=3 number of neighbor tic [idc,dist]=BruteSearchMex(p ,qp , k ,k) MEX toc tic [idc,dist]=knnsearch(qp,p,k) VECTORIZED M-CODE toc p=rand(N,dim) qp=rand(Nq,dim) Output: Elapsed time is 0.962640 seconds. Elapsed time is 18.813100 seconds. )

希尔伯特归一化算法，利用自身的希尔伯特变换进行归一化(The function HILBERTNORMALIZE normalizes data using its own Hilbert transformation.)

The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extraction, and classification. Each of these steps is a field unto itself, and is described briefly here in the context of a Matlab implementation of OCR.

逆变器电路初学者可以看看，都是自己编写，可以使用(Inverter circuit beginners can see, all I have written, you can use)

AUTO CORRELATION AND CROSS CORRELATION FOR GOLD CODE

DCDC变换器模型,采用双闭环控制，电压PI外环控制输出电压，电流PI内环加快相应速度(Model of a DC-DC converter，the completion of the current loop, double closed loop control scheme of voltage outer loop.)