potential

c++时尚编程百例__81-110(c++ fashional programing sample)

沉箱结构图设计vb源码。输入参数，计算，在autocad中绘制结构图。(Caisson structure chart design vb source code. Input parameters, calculation, in autocad draw chart.)

说明：  经典99行matlab拓扑优化代码，值得学习(Topology optimization of classical 99-line matlab)

It is an on-line near infrared spectroscopy data, which is mainly applied to the calculation of chemometrics and the establishment of Near Infrared Qualitative Model

说明：  机器学习及其matlab实现一书第十八章的代码，有详细的注释，供初学者借鉴，比较好学习强化学习资料。(Machine learning and matlab implementation Chapter 18 of the code, there are detailed notes for beginners to learn from, better reinforcement learning materials.)

经典的内核学习资料，0.11内核，初学者经典(the kernel of linux 0.11 )

基于果蝇的算法优化支持向量回归的matlab程序，包括txt版本和matlab中m文件(Matlab algorithm based on fruit fly algorithm optimized support vector regression, including the txt version and Matlab m file)

最优阵列信号处理一书中的源代码，对于学习阵列信号处理的人来说，是很不错的资料(Optimal array signal processing, a book' s source code, array signal processing for the study of people, it is very good information)

FPGA AD采集八路数据，12位分辨率，小梅哥FPGA的开发程序，实测可用(FPGA AD collects eight path data, 12 bit resolution, and the development program of Mayo FPGA.)

这本书在稀疏的多尺度图像和信号处理提出了艺术状态，包括线性多尺度变换，如小波，脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题，如去噪，反问题正规化，稀疏信号分解，盲源分离，压缩感知。 这本书的理论和实践研究相结合的领域，如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换，表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。 MATLAB和IDL代码伴随这些方法和应用程序重现。 实验并说明了在相关网站上可下载的研究的推理和方法。(This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as denoising, inverse problem regularization, sparse signal decomposition, blind source separation, and compressed sensing. This book weds theory and practice in examining applications in areas such as astronomy, biology, physics, digital media, and forensics. A final chapter explores a paradigm shift in signal processing, showing that previous limits to information sampling and extraction can be overcome in very significant ways.)