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压缩感知

压缩感知是近年来极为热门的研究前沿，在若干应用领域中都引起瞩目。 compressive sensing（CS）又称 compressived sensing ，compressived sample，大意是在采集信号的时候（模拟到数字），同时完成对信号压缩之意。与稀疏表示不同，压缩感知关注的是如何利用信号本身所具有的稀疏性，从部分观测样本中恢复原信号。

如何理解压缩感知(compressive sensing)？ - 知乎
- https://www.zhihu.com/question/28552876/answer/52341369
压缩感知：CS-Recovery-Algorithms开源代码
- https://zhuanlan.zhihu.com/p/27062896
如何理解压缩感知(compressive sensing)？ - 知乎
- https://www.zhihu.com/question/28552876
PDF.js viewer
- https://mozilla.github.io/pdf.js/web/viewer.html
解决 Mac 下 zip 压缩文件在 Windows...
- http://frank19900731.github.io/blog/2015/02/11/jie-jue-mac-xia-zip-ya-suo-wen-jian-zai-windows-xia-xian-shi-luan-ma-de-wen-ti/
图像处理理论（六）——经典目标跟踪算法
- http://antkillerfarm.github.io/graphics/2017/12/25/graphics_6.html
为什么 Non-Convex Optimization...
- https://www.zhihu.com/question/61034915
图像压缩
- https://dailc.github.io/image-process/examples/scale_compress.html
关于JS和CSS文件压缩问题｜Simmin's blog
- https://simmin.github.io/2017/03/31/js-css-compress/
压缩感知 | Notes
- http://redswallow.github.io/2013/06/what-is-compressed-sensing
常用优化方法 | Zhizhen's Attic
- http://chizhizhen.github.io/2016/01/29/%E5%B8%B8%E7%94%A8%E4%BC%98%E5%8C%96%E6%96%B9%E6%B3%95/
稀疏表达的意义在于？为什么稀疏表达得到广泛的应用？ - 知乎
- https://www.zhihu.com/question/26602796
Dictionary learning for compressed sensing reconstruction in...
- https://adribesson.github.io/Students_projects/Spring%202017/Master%20projects/Dictionary_learning.pdf
求科普鬼成像技术？ - 知乎
- https://www.zhihu.com/question/21562998
码字...random hacks, erlang, mathematica, etc - 码字
- http://foldl.github.io/
3.1 Boolean Compressed Sensing-Based Formulation
- http://krvarshney.github.io/pubs/MalioutovVED_tdmbsd2017.pdf
linux压缩/解压命令总结 - Michelia
- https://michelia.github.io/post/computer/04.linux_tar_summary/
convex optimization...
- https://www.zhihu.com/question/39935874
Exact Rule Learning via Boolean Compressed Sensing
- http://krvarshney.github.io/pubs/MalioutovV_icml2013.pdf
Linux常用命令总结 · 王震的博客
- https://wzzju.github.io/2017/11/25/linux-command.html

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