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matlab 图像信息隐藏 LSB方法(LSB method of information hiding matlab)

说明：  montecarlo算法 matlab编程(montecarlo algorithm matlab programming)

paper for research science

用户可以进行查询，也可以进行取款存款，还可以转账(Users can query, can also make deposits, withdrawals can also be transferred)

Logitboost 是一种改进的boostingg算法，可以用作参考 ， (Logitboost an improved boostingg algorithm can be used as a reference,)

MATLAB具有强大的科学计算功能, 含有大量多目标优化分析函数。依据技术将函数在 环境下进行调用, 进行多目标优化集成系统开发, 实现数据的自动输入和输出功能, 编制了MATLAB与VB的数据接口代码, 提出程序设计时应注意的问题。(MATLAB has powerful scientific computing functions, contains a large number of multi-objective optimization analysis function. Based technology will function in the environment calls for multi-objective optimization of integrated system development, automated data input and output functions, the preparation of the MATLAB data interface with the VB code, the program design should pay attention to the problem.)

说明：  声波方程正演模拟大模型样例。 包含三个地质层，分别对应速度可以自行修正。 震源函数是雷克子波。 C源程序，输出结果Matlab绘制。(Acoustic wave equation forward modeling big model of the sample. Consists of three geological layers, corresponding to the speed you can correct itself. Lake wavelet source function is. C source code, the output of Matlab draw.)

内含五个程序 1.zoeppritz Aki K I 和Richards P G的纵波近似程序 2.地震记录合成程序 3.大地电磁一维正演程序 4.雷克子波合成程序 5.地震反射系数生成程序(1.zoeppritz Aki KI and Richards PG longitudinal wave approximation procedures 2. Seismogram synthesis program 3. Magnetotelluric one-dimensional forward modeling program 4. Ricker wave synthesis procedure 5. Seismic reflection coefficient generator)

matalab调用C程序实现的基于SURF算法的全景图像拼接(matalab call C SURF algorithm based Program for panoramic image stitching)

智能天线技术是第三代移动通信系统的关键技术之一，也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性，存在多径衰落和时延扩展，因此造成了符号间串扰、同信道干扰、多址干扰等，这些干扰降低了链路性能和系统容量，智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论，然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论，用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术，对传统的相干干扰抑制方法-空间平滑法进行了分析，采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上，先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法，分析了信源数目过估计与欠估计情况下的MUSIC算法性能，提出一种改进算法，在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境，在分析MMUSIC算法的基础上，本文提出了基于低秩矩阵逼近法的改进MUSIC算法(In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique)