EbN0_BER

matlab做的图像检索源码，算法实现不错，很有借鉴作用，对初学者更是适用。(matlab source code to do image retrieval algorithm to achieve good, very useful reference for beginners it is applicable.)

MIMO系统中采用16QAM调制的ZF、MMSE、ZF-SIC、MMSE-SIC检测(ZF、MMSE、ZF-SIC、MMSE-SIC detection with 16 QAM modulation in MIMO system)

max_min求最大值最小值及平均值和乘法(max_min minimum and average maximum demand and multiplication)

一个简单的混沌程序，可以看到分叉的现象和振荡的现象。(A simple chaotic process, you can see the phenomenon of bifurcation and oscillation)

灰色关联度矩阵的算法，有一定的可取性,替换数字即可，用法简单。(The algorithm of grey correlation degree has certain desirability.)

说明：  三弯矩插值法 lagrange多项式插值 多项式最小二乘法 龙贝格积分法 分段线性插值 三转角插值 这些是数值分析中常用的集中经典方法，运用matlab展示出来！(three polynomial interpolation Hangzhou least squares polynomial interpolation Romberg integration subparagraph Line sex angle interpolation three interpolation these numerical analysis is commonly used in concentrated classical methods, and use Matlab show!)

Solving TSP by means of SA

用matlab编写的对输入的序列进行CRC-16的校验编码。(This Script Calculate crc-16 from a binary line of code creat)

说明：  本文提出了一种基于混沌加密的DCT域二值图像数字水印算法.该算法首先利用混沌序列将含有版权信息的有意义二值图像水印进行加密,然后利用人眼视觉系统(HVS)的特性将原始载体图像进行块分类,最后将不同强度的水印分量嵌入到不同类的图像块DCT中频系数中去.利用混沌序列对水印进行加密,使水印本身具有安全性,对数字作品进行双重保障.通过高斯噪声,椒盐噪声以及JPEG压缩和剪切等攻击试验,表明了该算法具有较好的鲁棒性.(Encryption in DCT domain is proposed. Firstly, the meaningful binary image watermark containing copyright information is encrypted by using chaotic sequence, and then the original image is classified by using the characteristics of human visual system (HVS), Finally, the watermark components with different intensities are embedded into the DCT intermediate frequency coefficients of different types of image blocks. Chaotic sequences are used to encrypt the watermark, so that the watermark itself has security and double protection for digital works. Experiments on Gaussian noise, salt and pepper noise, JPEG compression and clipping show that the algorithm has good robustness)

描述了LTE一个信道的Turbo编码以及速率匹配等，有助于对LTE的协议理解。(A description of LTE Turbo channel coding and rate matching, etc., contribute to understanding of the LTE protocol.)