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- 《Matlab与通信仿真》--数字调制篇--分析R-QAM或G-QAM的性能（信道任选)-" Matlab simulation and communication" - Digital Modulation articles- Analysis of R-QAM or the performance of G-QAM (optional channel)
ginput2
- Do you still use GINPUT to graphically select points on current axes with the mouse? Try this one! With GINPUT2 you can also: 1. ZOOM: in, out (double-click)! 2. PAN: when dragging! 3. DELETE: last selected point! 4. PLOT: while sele
Snake
- 原始snake matlab 源碼，簡單版- seg = localized_seg(I,init_mask,max_its,rad,alpha,method) Inputs: I 2D image init_mask Initialization (1 = foreground, 0 = bg) max_its Number of iterations to run segmentation for
GUI-drawing-board
- Matlab鼠标画图,用pop-up menu选择画图标记,颜色edit记录鼠标坐标 但是功能比较简单，只能画线，不能画矩形、椭圆等 其中一个难点就是：拖动鼠标的过程中如何显示矩形/椭圆的轮廓，并且轮廓跟着鼠标指针移动。 程序的亮点： 1、可选择点、线、矩形、椭圆进行画图； 2、可选择marker、LineTyple进行画图； 3、可选择画图颜色； 4、可实时显示鼠标指针当前坐标； 5、可清除画板； 6、可保存画好的图(bmp、jpg、gif)； 7
perceptron
- 感知器 算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 -PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init
CIE2000
- This function Compute the CIEDE2000 color-difference between the sample between a reference with CIELab coordinates Labsample and a standard with CIELab coordinates Labstd The function works on multiple standard and sample vectors too provided Lab
FINDENDSJUNCTIONS
- FINDENDSJUNCTIONS - find junctions and endings in a line/edge image Usage: [rj, cj, re, ce] = findendsjunctions(edgeim, disp) Arguments: edgeim - A binary image marking lines/edges in an image. It is assumed that this is a thinned or
qpsk
- 一个有关qpsk的调制。系统的性能仿真。-1. system diagram 2. Input baseband waveform and its power spectrum 3. QPSK modulated signal and its power spectrum 4. AWGN channel output and its power spectrum 5. Signal constellations before and after the Rayleigh
Basic-ICA-code-in-MATLAB-)
- 下面是5 MATLAB文件。 1。readsounds。米,用于读取数据 2。sep.m,一个学习通过数据的代码 3。sepout。米,可选的文本输出 4。wchange。米,体重变化的大小和方向 5。sep.run,2 - > 2分离的示例脚本-Below are 5 MATLAB files. 1. readsounds.m, for reading the data in 2. sep.m, the code for one learni
sparco-1.2
- Sparco is a suite of problems for testing and benchmarking algorithms for sparse signal reconstruction. It is also an environment for creating new test problems, and a suite of standard linear operators is provided from which new problems can be asse