Signal Processing for 5G Algorithms

说明：  两种算法的简单版程序，还有其中一部分说明及仿真图(Simple version of the two algorithms procedures, as well as part of the description and simulation of Figure)

说明：  ldpc码的基于联合校验—变量处理修正译码算法基础上的改进(the improvement of LDPC code decoding algorithm )

最小数据量法计算李雅普诺夫常数，给出matlab下的源代码(The minimum amount of data calculated Lyapunov constant, given the source code under matlab)

This is a matrix multiplication as an example of OpenMP parallel programming.

说明：  梯形与simpson求积公式 分别是梯形,simpson,和3/8simpson的matlab代码,计算的区间被划分成为了又2到256个,精度逐渐增加.(Trapezoidal and simpson quadrature formula are trapezoidal, simpson, and 3/8simpson of matlab code to calculate the interval was divided to become another 2-256, a gradual increase in accuracy.)

针对超分辨图像图像的pocs算法源代码，对多帧序列的毫米波图像进行处理(Image super-resolution images for pocs algorithm source code, on the millimeter wave multi-frame image sequence processing)

本书主要介绍如何运用Matlah与C.C + +进行混合程序设计。共分8章。主要包括Matlab程序设计初步、Matlab编译器、Matlab与C语言的接口、生成可独立运行的iatlah程序、VC++调用Matlah程序、Matlab DotNet Builder与VC++,Matcom与C/C++以及VC++调用Matlab C++数学库。另外，附录中介绍有关动态链接库的基础知识。各章包含大量 的实例程序，可供寻求将Matlab程序脱离Matlab环境的Matlab程序设计人员、寻求在Matlab中调用C/C++程序的程序设计人员、寻求在C,C++中调用Matlab程序的程序设计人员学习和参考。(This book describes how to use Matlah mixed with the CC++ programming. Divided into 8 chapters. Including Matlab programming initially, Matlab compiler, Matlab and C language interface to generate can be run independently of the iatlah program, VC++ calls Matlah program, Matlab DotNet Builder and VC++, Matcom and C/C++ and VC++ calling Matlab C++ math library. In addition, the appendix describes the dynamic link library on the basis of knowledge. Each chapter contains a large number of example programs are available for the Matlab program from the Matlab environment, Matlab programmer, seeking to Matlab to call C/C++ program programmers seek to C, C++ calling Matlab program programmers study and reference.)

this include c c++ files as helpful to all

noise cancellation matlab m-files

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。 (This book is one of MATLAB application technology Series on the latest MATLAB Wavelet toolbox in Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multi-resolution analysis and orthogonal wavelet transform, wavelet transform and multi-sampling filter banks, two dimensional wavelet transform and image processing and the basic principle of wavelet packet etc part 2 highlights in detail using wavelet analysis toolbox, including a graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform MATLAB implementation of wavelet packet transform MATLAB realize, signal and image noise reduction and compression, as well as to enhance the latest signal and image of the wavelet transform and other content part 3 introduces the application of bas)