本仓库提供了一本名为《压缩感知理论与应用》的全书资源下载。该书共包含12章，涵盖了压缩感知理论及其在各个领域的应用。以下是各章节的标题：1. **Introduction to compressed sensing** Mark A. Davenport， Marco F. Duarte， Yonina C. Eldar， and Gitta Kutyniok2. **Second generation sparse modeling: structured and collaborative signal analysis** Alexey Castrodad， Ignacio Ramirez， Guillermo Sapiro， Pablo Sprechmann， and Guoshen Yu3. **Xampling: compressed sensing of analog signals** Moshe Mishali and Yonina C. Eldar4. **Sampling at the rate of innovation: theory and applications** Jose Antonia Uriguen， Yonina C. Eldar， Pier Luigi Dragotta， and Zvika Ben-Haim5. **Introduction to the non-asymptotic analysis of random matrices** Roman Vershynin6. **Adaptive sensing for sparse recovery** Jarvis Haupt and Robert Nowak7. **Fundamental thresholds in compressed sensing: a high-dimensional geometry approach** Weiyu Xu and Babak Hassibi8. **Greedy algorithms for compressed sensing** Thomas Blumensath， Michael E. Davies， and Gabriel Rilling9. **Graphical models concepts in compressed sensing** Andrea Montanari10. **Finding needles in compressed haystacks** Robert Calderbank， Sina Jafarpour， and Jeremy Kent11. **Data separation by sparse representations** Gitta Kutyniok12. **Face recognition by sparse representation** Arvind Ganesh， Andrew Wagner， Zihan Zhou， Allen Y. Yang， Yi Ma， and John Wright
项目介绍
本仓库提供了一本名为《压缩感知理论与应用》的全书资源下载。该书共包含12章，涵盖了压缩感知理论及其在各个领域的应用。以下是各章节的标题：1. **Introduction to compressed sensing** Mark A. Davenport， Marco F. Duarte， Yonina C. Eldar， and Gitta Kutyniok2. **Second generation sparse modeling: structured and collaborative signal analysis** Alexey Castrodad， Ignacio Ramirez， Guillermo Sapiro， Pablo Sprechmann， and Guoshen Yu3. **Xampling: compressed sensing of analog signals** Moshe Mishali and Yonina C. Eldar4. **Sampling at the rate of innovation: theory and applications** Jose Antonia Uriguen， Yonina C. Eldar， Pier Luigi Dragotta， and Zvika Ben-Haim5. **Introduction to the non-asymptotic analysis of random matrices** Roman Vershynin6. **Adaptive sensing for sparse recovery** Jarvis Haupt and Robert Nowak7. **Fundamental thresholds in compressed sensing: a high-dimensional geometry approach** Weiyu Xu and Babak Hassibi8. **Greedy algorithms for compressed sensing** Thomas Blumensath， Michael E. Davies， and Gabriel Rilling9. **Graphical models concepts in compressed sensing** Andrea Montanari10. **Finding needles in compressed haystacks** Robert Calderbank， Sina Jafarpour， and Jeremy Kent11. **Data separation by sparse representations** Gitta Kutyniok12. **Face recognition by sparse representation** Arvind Ganesh， Andrew Wagner， Zihan Zhou， Allen Y. Yang， Yi Ma， and John Wright
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