AWGN_LDPC

matlab图像处理程序，很实用的，图像多分辨率金字塔(matlab image processing procedures, very practical, multi-resolution image pyramid)

本程序主要实现图像的骨架化。细化和骨架化操作是把区域的面宽度缩到最小，即单像素宽度，也就是把物体变细，直到现最小的像点连通性。(The main procedures of the skeleton of the image. Refinement and skeleton operation the face width of the region is reduced to a minimum, i.e., a single pixel width, which is the object thinner, until now the smallest image point connectivity.)

说明：  包含matlab用到的所有数学计算，希望对大家有所帮助。(Matlab contains all the mathematical calculations used in the hope that all of you to help.)

有信道编码，调制，信道估计等，包括主成分分析、因子分析、贝叶斯分析，包括最小二乘法、SVM、神经网络、1_k近邻法。( Channel coding, modulation, channel estimation, Including principal component analysis, factor analysis, Bayesian analysis, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.)

人脸识别的matlab pca源码，希望对大家有用处(face recognition Matlab pca source, we hope to be useful)

代码是根据文献思想自己编写，已经过多次试验，实现对图像处理过程中的svd分解，过程中需要调用一个omp函数，可以自己随便调用一个(The code literature thinking of their own writing, has been repeatedly test svd decomposition of image processing, the process need to call a omp function can casually call a)

用于检测两个信号的延时情况,应用方面非常广泛(for detecting signal delay, the application is very extensive)

实现turbo码的编码和解码，是一个递归卷积码的编解码的程序(Turbo code to achieve the encoding and decoding)

THIS FOLDER CONTAINS THE MATLAB PROGRAMS FOR CHAPTER 3 OF RADAR SYSTEMS BY MAHAFZA

说明：  本书是“移动通信前沿技术系列”之一，全书共分18个章节，主要对协作通信及网络知识作了介绍，具体内容包括空时分集和编码、空时频分集与空时频编码、中继信道及协议、单中继协作通信、多节点协作通信等。全书内容分为三部分，第一部分回顾传统的MIMO系统，介绍空间、时间、频率分集的概念。第二部分主要考虑协作通信物理层的关键问题，并对其提出了行之有效的解决方案，比如针对协作通信的分布式特点，提出分布式空时(频)码；针对协作通信的频谱效率问题，提出了新颖和有效的协作方案。第三部分介绍协作通信对物理层之上的MAC层、网络层及应用层产生的影响，内容涉及如何协作路由，如何通过协作使网络覆盖范围增大，如何延长网络寿命等。(This book is one of the "cutting edge mobile communication technology series". The book is divided into 18 chapters, mainly on cooperative communications and network knowledge and specific content including the empty hours of collection and coding, space-time-frequency diversity and space-time frequency coding, relay channel and protocols, single-relay cooperative communication, multi-node cooperative communications.)