搜索资源列表
An-Introduction-To-_2008
- 一篇有关于感知压缩的概念性论文，英文版本-A perception of compression on the conceptual papers, in English
Reconstructing-3D-Human-Pose
- 单幅图像人体运动3维重建，用到压缩感知的思想，很新颖。-Single three-dimensional image reconstruction of human movement, the idea of compressed sensing is used, very novel.
yasuoganzhizhuanlan
- 压缩感知matlab代码及说明，适合初学者学习使用-Compressed sensing matlab code and instructions for beginners to learn to use
CS-on-voice-processing
- 压缩感知期刊文档，关于语音信号编码方面，适合初学者学习使用-Compressed sensing journals document, on a voice signal coding, suitable for beginners to learn to use
cs-on-video-processing-by-gu-yong
- 压缩感知期刊文档，关于视频编码处理，适合初学者学习使用-Compressed sensing journals documentation about the video encoding process, suitable for beginners to learn to use
CS-on-SAR
- 压缩感知matlab代码及说明，适合初学者学习使用.关于SAR雷达，含7个代码-Compressed sensing matlab code and instructions for beginners to learn to use. Regarding SAR radar, with 7 code
Introduction-to-Compressive_Sensing
- 压缩感知matlab代码及说明，适合初学者学习使用-Compressed sensing matlab code and instructions for beginners to learn to use
CompressiveSensing
- 压缩感知是近年来极为热门的研究前沿，本文件包含了笔者从网上搜集的压缩感知方面比较有影响力的文章。-Compressed sensing is extremely popular in recent years, the research frontier, this document contains the author collected from the compressed sensing aspects of the Internet more influential article.
Research-on-Compressed-Sensing
- 经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号 频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到 的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling, CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯 特频率的采样频率下对压缩数据的直接采集.该
lectures_CS
- 压缩感知理论的讲座（共8讲），很好的学习资料，含在语音、图像和雷达领域的应用示例。-The lectures regarding compressive sensing consist of 8 articles which indroduce the fundamental and applications on speech,image and radar.
CompressiveSampling
- 一篇很好的关于压缩感知的英文文献，是提出研所感知的大牛写的，适合科普和研究这方面的人学习。-A good English-language literature on compressed sensing, proposed research is perceived Daniel wrote, science and research in this area for people to learn.
About-SparseLab
- 稀疏表示是压缩感知的基础条件，一篇关于稀疏表示的详细介绍，值得学习。-Sparse representation is a basic condition for compressed sensing, detailed article on sparse representation, it is worth learning.
lfm-compressive-sensing
- LFM宽带雷达信号的多通道盲压缩感知模型研究，提出了一种压缩感知技术新方法-Lfm compressive sensing