FEC_CMMB_rar

The files contain good ebooks for C++ programing and for Matlab

说明：  图像处理中将极坐标转换为笛卡尔左边的几个调用函数，包含bin,density 和ffgrid(in the image process,please convert the polar coordinate into castinate coordinate, there are some diaoyong functions ,include bin,density and ffgrid)

about NFSNET topology in optical network...which consist of 14 node and 42 links ..

Fast fourier transform for signal analysis

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.)

使用matlab对图面均衡处理，并画出前后的直方图(Matlab on the surface using a balanced approach, and draw the histogram before and after)

功能：对矩阵A的左上角的m阶对角块作QR变换：先用Givens变换作QR分解A=QR， 再作相似变换A:=Q AQ=RQ. 输入: n阶HessenbergA，其中A(m+1,m)=0,m>2. 输出: 变换后的Hessenberg形矩阵A. 2 用基本QR算法求实方阵的全部特征值.(Function: the upper left corner of the matrix A, diagonal blocks of order m to QR transformation: first, to make QR decomposition using Givens transformations A = QR, re-similarity transformation A: = Q' AQ = RQ. Input: n-order HessenbergA, where A (m+1, m) = 0, m> 2. Output: transformed Hessenberg form matrix A. 2 matrix with the basic QR algorithm for all the characteristics of the value of truth-seeking.)

说明：  用matlab写的水果分类系统源码，很值得学习，(Written by matlab source fruit classification system, it is worth learning,)

hay nen lay file nay di cac ban oi

matlab编程基础教程，适用于matlab入门学习和参考。简明易懂，直观易上手。(programming in matlab。)