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导师传给我的关于MSK和GMSK的一些相关MATLAB仿真源码，希望对大家有用(Simulation program to realize GMSK transmission system)

这是关于调制传递函数MTF如何处理卫星遥感图像的一个讲义，对图像进行复原，提高清晰度(This is the modulation transfer function MTF on how to deal with satellite remote sensing images of a lecture, image recovery, improve clarity)

直方图均衡化及亮度调整，关于图像处理方面最基本的几个程序(Histogram equalization and brightness adjustment, image processing on a few basic procedures)

黄金分割法 可以解决 单峰函数 的极值问题 比较的准确和快速(Golden section method can solve the single-peak function of the extremum problem of accurate and rapid)

This is amatlab coding, implement the speech privacy using frequency domain method. it also includes the detection of end of speech algorithm to reduce the bandwidth consumed

这是一个Matlab开发的数字波束形成源代码，基于music算法的，仿真正确。(This is a Matlab development of digital beamforming source code, based on the music algorithm, the simulation is correct.)

结构系统失效模式可靠性Monte-Carlo法 结构系统失效模式研究与可靠性分析(Structural system reliability failure modes Monte-Carlo method structural system reliability analysis and failure mode study)

使用遗传算法解决多变量函数优化问题,其中有20个变量(Genetic algorithm is used to solve the multivariable function optimization problem, which has 20 variables)

《Matlab在化学工程中的应用》该书是我见过的一本相当有用的一本书 具有很高的针对型哦("Matlab in chemical engineering application," I have seen the book is of a very useful book is a against high-Oh)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)