Measurement matrix optimization via mutual coherence minimization for compressively sensed signals reconstruction

DOI10.1155/2020/7979606zbMath1459.94051OpenAlexW3090971136MaRDI QIDQ2004244

Ziran Wei, Jian Lin Zhang, Zhiyong Xu, Yong Liu

Publication date: 14 October 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/7979606

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• PDCO

Cites Work

• Unnamed Item
• A mathematical introduction to compressive sensing
• Iterative hard thresholding for compressed sensing
• Linear convergence of iterative soft-thresholding
• Extensions of compressed sensing
• Compressed sensing and its applications. MATHEON workshop, Berlin, Germany, December 2013
• Optimized projections for compressed sensing via rank-constrained nearest correlation matrix
• Atomic Decomposition by Basis Pursuit
• Block-Based Compressed Sensing of Images and Video
• The Performance of Orthogonal Multi-Matching Pursuit under the Restricted Isometry Property
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
• Optimized Projections for Compressed Sensing
• On the Recovery Limit of Sparse Signals Using Orthogonal Matching Pursuit
• Exact Recovery of Sparse Signals Using Orthogonal Matching Pursuit: How Many Iterations Do We Need?
• Hierarchical Probabilistic Framework for Fetal R-Peak Detection, Using ECG Waveform and Heart Rate Information
• Sparsity and incoherence in compressive sampling
• Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization
• Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ ¹ minimization
• Stable signal recovery from incomplete and inaccurate measurements
• Compressed sensing

This page was built for publication: Measurement matrix optimization via mutual coherence minimization for compressively sensed signals reconstruction