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This paper presents a novel algorithm of hiding secret messages by applying mathematical lemmas and information theory. The proposed algorithm can hide more information with acceptable embedded rate and achieves requirements of information hiding algorithm and simply information extracting. The main idea is applying modern algebra to solve the information hiding problem in multimedia. In order to prevent some attacks on stganography, hidden initial bits of image data pixels are chosen randomly. The extracted information are achieved without the reference of the original image and extracted keys. The experiment results show that our approach is effective and reliable.

Visual C++_MATLAB图像处理与识别实用案例精选+源代码(Visual C++ _MATLAB image processing and recognition of practical case selection+ Source Code)

精通matlab图像处理光盘配套（附录代码等）(matlab，imge program)

model reference adaptive control MIT and modified MIT MRAC simulink

提供了完整的增量式支持向量机的matlab原代码程序，便于初学者学习(Provides a complete incremental SVM matlab program source code, easy for beginners to learn)

基于adaboost的人脸检测算法的matlab实现过程，希望对需要的朋友有帮助(Face detection based on adaboost algorithm matlab process, hope to help to friends)

基于FARIMA的网络自相似业务流模型的研究与仿真 包含三个函数：av.m、far.m、zsrs.m。具体说明见论文及模型说明(Research and simulation of self-similar traffic model based on a FARIMA the network consists of three functions: av.m far.m, zsrs.m. Specific instructions, see papers and model description)

说明：  维纳滤波，可以有效地滤除信号中的噪声,适应于某些工程(Wiener filtering.It can effectively filter the noise in the signal.Suitable for some projects)

完成M=4的正交信号的数字通信系统的蒙特卡罗仿真。分析其在加性高斯白噪声下误码率与信噪比之间的关系，绘出误码率-信噪比曲线图，并和物理曲线进行比较。(The completion of M = 4 orthogonal signals in Monte Carlo simulation of digital communication systems. Analysis of the additive white Gaussian noise bit error rate and signal to noise ratio under the relationship between the mapped BER- signal to noise ratio curve, and and physical curves for comparison.)

说明：  蒙特卡罗方法可以有效地解决复杂的工程问题，而MATLAB具有强大的数值计算功能。将二者结合使用，可以得到高效的解决问题的方法。本文阐述了该方法并通过实例验证了该方法的正确性和优越性。 (Monte Carlo method can effectively solve complex engineering problems, and MATLAB has powerful function of numerical calculation. The two in combination, can be cost-effective solution to the problem. This paper describes the methods and examples of the method to verify the correctness and superiority.)