GCMC

matlab实现Butterworthlow低通滤波器仿真程序(matlab achieve Butterworthlow low-pass filter simulation program)

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)

qr算法的matlab代码，利用矩阵的QR分解，逐步按递推法构造矩阵的分解序列的过程，只要原始矩阵式非奇异矩阵，则由QR算法就完全确定其分解序列了(qr algorithm matlab code using a QR decomposition of the matrix, step by step process of the recursive method to construct the matrix decomposition sequence, as long as the original matrix nonsingular matrix by the QR algorithm completely determine the sequence of its decomposition)

在算法设计中实用Strategy模式，实用Controller实现模块间通信，实用Singleton设计模式，实用模型-视图-控制器架构设计应用程序，程序内容是颜色空间转换(colorDetection.h colorDetection.cpp colordetector.cpp correspond to Recipe: Using the Strategy Pattern in Algorithm Design )

VC调用MATLAB编译的D(VC Calling MATLAB Compiler DLL )

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仿真空时分组编码的误码率曲线，通过空时分组的性能曲线，得到其分集优势(Simulation of space-time block-coded BER curves, through the space-time block of the performance curve, by its sub-set of advantages)

本程序为多个不同脉冲程序。用于刺激或脉冲发生器的研究(This program is different pulse program. Or pulse generator for stimulating research)

基于子空间的盲信道估计算法，用的是奇异值的分解Subspace-based blind channel estimation algorithm, using a singular value decomposition (Subspace-based blind channel estimation algorithm, using a singular value decomposition )

非常实用的Matlab书籍，包括Matlab基础知识及Matlab实用编程(Matlab is very useful books, including basic knowledge of Matlab and Matlab programming practical)