retangleplace

TURBO译码性能AWGN信道测试（有菜单）(TURBO AWGN channel decoding performance testing (with menu))

GSCALE Scales the intensity of the input image. G = GSCALE(F, full8 ) scales the intensities of F to the full 8-bit intensity range [0, 255]. This is the default if there is only one input argument. G = GSCALE(F, full16 ) scales the intensities of F to the full 16-bit intensity range [0, 65535]. G = GSCALE(F, minmax , LOW, HIGH) scales the intensities of F to the range [LOW, HIGH]. These values must be provided, and they must be in the range [0, 1], independently of the class of the input. GSCALE performs any necessary scaling. If the input is of class double, and its values are not in the range [0, 1], then GSCALE scales it to this range before processing. The class of the output is the same as the class of the input. Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins Digital Image Processing Using MATLAB, Prentice-Hall, 2004 $Revision: 1.5 $ $Date: 2003/11/21 14:36:09 $

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

matlab信号处理工具箱的教程,适合于初级及中级学习(signal processing toolbox matlab tutorial for learning in primary and intermediate)

测量角度：读取图像并选择含有角度的区域，求取角的直线边界，计算直线间的角度。(Measuring angles: read image and choose contain Angle of regional and calculating the Angle between the line, line border calculation.)

unsecnted Kalman Filter

利用解方程组来获得物体发生扭曲的参数，从而实现对扭曲物体的恢复。(By solving system of equations to obtain the parameters of the object is distorted in order to achieve the restoration of distorted objects.)

线阵，圆阵，圆柱阵，球阵三维波束形成图，二进制和十进制（小数）的转换(The 3D beamforming diagram of the linear array, circular array, cylindrical array ball array, binary and decimal (decimal) conversion)

计算机视觉大牛Andrew Blake著的书。 《视觉和图像处理中的马尔科夫随机场》 Markov random fields for vision and image processing(This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction, image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more detailed chapters that follow, as well as a stand-alone introduction to MRFs.)

说明：  运用Matlab中的一些基本矩阵计算方法，通过自己编程实现聚类算法，在此只讨论根据最短距离规则聚类的方法。(The use of Matlab, some of the fundamental matrix method, clustering algorithms, through their own programming, in which only discuss the rules under the shortest distance clustering method.)