Energy preserved sampling for compressed sensing MRI
From MaRDI portal
Publication:2262538
DOI10.1155/2014/546814zbMath1307.92265OpenAlexW2033514934WikidataQ21284692 ScholiaQ21284692MaRDI QIDQ2262538
Genlin Ji, Zhengchao Dong, Bradley S. Peterson, Yu-Dong Zhang
Publication date: 16 March 2015
Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/546814
Related Items (2)
System optimization for temporal correlated cognitive radar with EBPSK-based MCPC signal ⋮ Bridging and Improving Theoretical and Computational Electrical Impedance Tomography via Data Completion
Uses Software
Cites Work
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
- Sparse Optimization with Least-Squares Constraints
- Stable recovery of sparse overcomplete representations in the presence of noise
- Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing
- Atomic Decomposition by Basis Pursuit
- Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing
- A Subband Adaptive Iterative Shrinkage/Thresholding Algorithm
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
This page was built for publication: Energy preserved sampling for compressed sensing MRI