turboencoder_lte

简单的绘图示例程序，matlab作业中的要求(Example of a simple drawing program, matlab operations requirements)

修改版的matlab画K线的程序，实现了涨为红色，跌为绿色(Modified version of the matlab draw K-line procedures, the rose is red, or green )

matlab code sets for utility applications

随机信号分析实验2_1，包括给予matlab的随机序列的产生以及其相关函数和功率谱的估计。(Random signal analysis experiment 2_1, including to matlab random sequence generation and the correlation function and power spectrum estimation.)

Robustness motion video watermarking

图像处理的分割，很经典的MATLAB 算法，适合做CV分割的初学者(cv )

说明：  数字信号处理对于信号的基本matlab运算操作，有助于理解信号(The basic matlab operation of digital signal processing is helpful to understand the signal)

This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr constructs in the process. MATLABr is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a “mental block” about computers. Although MATLABr is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help the users become comfortable with the language.

用costas环实现载波同步。假设发送信号载波频率为3.563Mhz，本地初始频率为3.5628Mhz。程序中直接给出了环路滤波器的参数C1,C2。(this is synchoronization on time recovery basing on matlab)

说明：  《统计信号处理基础 估计与检测理论》，该书本书是一部经典的有关统计信号处理的权威著作。全书分为两卷，分别讲解了统计信号处理基础的估计理论和检测理论。(&quot Statistical signal processing based estimation and detection theory&quot , the book This book is a classic authority on statistical signal processing work. The book is divided into two volumes, respectively, to explain the basis of statistical signal processing, estimation theory and detection theory.)