Designing Incoherent Frames Through Convex Techniques for Optimized Compressed Sensing

DOI10.1109/TSP.2016.2521607zbMath1414.42037OpenAlexW2319784496MaRDI QIDQ4618327

Nuria González Prelcic, Cristian Rusu

Publication date: 7 February 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2016.2521607

Mathematics Subject Classification ID

Convex programming (90C25) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) General harmonic expansions, frames (42C15)

Related Items (6)

Properties of real and complex ETFs and their application to the design of low coherence frames ⋮ DCACO: an algorithm for designing incoherent redundant matrices ⋮ Posterior information-based image measurement matrix optimization ⋮ Lattices from equiangular tight frames ⋮ Frame completion with prescribed norms via alternating projection method ⋮ Incoherent dictionary learning method based on unit norm tight frame and manifold optimization for sparse representation

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