cs_cvx

matlabGUI编程实例：常用数学符号运算工具集合，主要功能包括：因式分解，合并同类项、求微分积分，泰勒展开和函数作图等。对学习初步的matlab界面设计有着一定的参考价值(matlabGUI programming examples: commonly used mathematical symbols collection of computing tools, the main features include: Factorization, the merger of similar items, and points differential, Taylor expansion and function, such as mapping. Learning matlab preliminary interface design is a certain reference value)

说明：  符号LMS算法的MATLAB实现 并比较误差性能和收敛速度 结果正确 可以直接使用(MATLAB symbolic realization of LMS algorithm and compare the results of error performance and convergence speed can use proper)

频域捕获，码相位，载波频率确定，时间变短(Capture frequency, code phase, carrier frequency to determine)

计算临界转速的小程序，考虑了轴的分布质量，但是不包括振型(Calculated critical speed of small programs, considering the quality of the axis of the distribution, but does not include the vibration mode)

简化的AUV的6自由度运动仿真程序，使用龙哥库塔法。(a simplified auv model,a matlab example)

用于数学建模，评价类模型，层次分析法的代码(For mathematical modeling, evaluation class model, AHP code)

说明：  MATLAB 程序菲涅尔迭代计算啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊(Fresnel Iterator of MATLAB Program)

Matlab的一些应用程序例子，可以供大家参考下，谢谢大家的支持(Matlab some application examples, for your reference, thank you for the support )

The Cross Bilateral filter can enhance the PSNR of multi focus images that is in image fuison. Bilateral filtering is a local, nonlinear and non- iterative technique which combines a classical low-pass filter with an edge stopping function that attenuates the filter kernel when the intensity difference between pixels is large. As both gray level similarities and geometric closeness of the neighboring pixels are considered, the weights of the filter depend not only on Mahalanobis distance but also on the distance in gray/color space. The advantage of the filter is that it smoothes the image while preserving edges using neighboring pixels. CBF considers both gray-level similarities and geometric closeness of neighboring pixels in image one to shape the filter kernel and filters the image two.

简单的介绍什么是深度学习、深度学习的应用场景等基础知识，帮助我们快速入门该领域(Briefly introduce what is the basic knowledge of deep learning, deep learning application scenarios, and help us quickly get started in this field.)