LISTING5_1

matlab数据读取和导出应用实例,有助于初学者进行操作实习.对于初学者的提高有很大帮助.(Read MATLAB data and export application examples, helpful for beginners to practice. There is a great help for beginners. )

The basic steps of the connected-component text extraction algorithm are given below, and diagrammed in Figure 10. The details are discussed in the following sections. 1. Convert the input image to YUV color space. The luminance(Y) value is used for further processing. The output is a gray image. 2. Convert the gray image to an edge image. 3. Compute the horizontal and vertical projection profiles of candidate text regions using a histogram with an appropriate threshold value. 4. Use geometric properties of text such as width to height ratio of characters to eliminate possible non-text regions. 5. Binarize the edge image enhancing only the text regions against a plain black background. 6. Create the Gap Image (as explained in the next section) using the gap-filling process and use this as a reference to further eliminate non-text regions the output.

【谷速软件】读取医学数字成像和通信序列 可以做为参考使用 ([Software] read speed Valley Medical Digital Imaging and Communications in the sequence can be used as a reference to use)

用matlab仿真实现ldpc编解码，BPSK调制, 测定误码率与信噪比的关系(Using matlab simulation to realize LDPC Encoding and decoding, BPSK modulation, and to determine the relationship between bit error rate and signal-to-noise ratio)

Summary: Newton-Raphson method for all real roots of the polynomial. MATLAB Release: R11 Description: This M-file calculates all the real roots of the given polynomial. It calls syn_division, a synthetic division function, and derivate, differentiation function. (Summary: Newton-Raphson method for all real roots of the polynomial. MATLAB Release: R11 Description: This M-file calculates all the real roots of the given polynomial. It calls syn_division, a synthetic division function, and derivate, differentiation function.)

绘制分钟级自动站气象战数据与能见度数据的对比图(Draw-the-minute weather warfare automatic station data comparison chart data and visibility)

表面肌电信号emg的处理程序，使用matlab编写(emg signal processing)

介绍了SVM的基础知识，包括：SVM入门（一）SVM简介；SVM入门（二）线性分类器part1；SVM入门（三）线性分类器part2；SVM入门（四）线性分类器的求解—问题的描述part1；SVM入门（五）线性分类器的求解—问题的描述part2等。(Describes the basics of SVM, including: SVM Getting Started (1) SVM Introduction SVM Getting Started (2) linear classifier part1 SVM Getting Started (3) linear classifier part2 SVM entry (d) the solution of a linear classifier- description of the problem part1 SVM Getting Started (5) the solution of the linear classifier- description of the problem part2 and so on.)

对各个特征量的大小进行排序，并显示相应的序号(The size of each characteristic quantity to sort and display the corresponding number)

Education matlab Language with c practical examples