원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.9
2016.09
pp.357-368
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Related Works
3. Preliminaries and Problem Formulation
3.1. Compressed Sensing Background
3.2. Problem Description
4. Alternative Multiplicative Iterative Method for Projection Design
4.1. Model Description and Maximum-Likelihood Estimation
4.2. Alternative Multiplicative Iterative Method
4.3. Summary of Proposed Method
5. Simulation Results
5.1. Mutual Coherence Histogram Comparison
5.2. Average Mutual Coherence Comparison
5.3. Image Reconstruction Performance Comparison
6. Conclusions
Acknowledgments
References
1. Introduction
2. Related Works
3. Preliminaries and Problem Formulation
3.1. Compressed Sensing Background
3.2. Problem Description
4. Alternative Multiplicative Iterative Method for Projection Design
4.1. Model Description and Maximum-Likelihood Estimation
4.2. Alternative Multiplicative Iterative Method
4.3. Summary of Proposed Method
5. Simulation Results
5.1. Mutual Coherence Histogram Comparison
5.2. Average Mutual Coherence Comparison
5.3. Image Reconstruction Performance Comparison
6. Conclusions
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보