ch01

用于产生CRC校验的matlab源码，生成多项式g(x) = x32 + x26 + x23 + x22 + x16 + x12 + x11 + x10 + x8 + x7 + x5 + x4 + x2 + x + 1，按比特输入按字节输出(Matlab code for CRC-16 generation)

source input for RAKE

说明：  这有关于微分方程求解 的 比较实用的 用Matlab 进行编程实现(This is about more practical for Solving Differential Equations with Matlab, programming)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

discrete wavelet and svd based watermarking with 12 type of attack included

cordic matlab simulation algorithm, Signal Processing ESPRIT method, A very useful program.

MATLAB数据分析方法例题程序MATLAB数据分析方法例题程序(MATLAB data analysis methods Example procedures MATLAB data analysis methods Example procedures)

环境数学模型，利用椭圆法以及matlab数学环境制作的数学模型，效果还不是特别的好(прикладная задача математического моделя )

本书主要介绍matlab的基本使用方法，适用于matlab初学者，很实用，很精简。(this book introduces the application method of matlab.it is helpful for the beginner of matlab.)

Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.