Normalized tight vs. general frames in sampling problems
DOI10.22034/aot.1611-1063zbMath1370.42025OpenAlexW2592804750MaRDI QIDQ525314
Publication date: 3 May 2017
Published in: Advances in Operator Theory (Search for Journal in Brave)
Full work available at URL: http://www.aot-math.org/article_43335_a0eb80054183c1d231c2f48925a39cca.pdf
sampling theoryconsistent and quasiconsistent reconstructionsframes and normalized tight framesreplacement operatorseveral samples
Hilbert and pre-Hilbert spaces: geometry and topology (including spaces with semidefinite inner product) (46C05) General harmonic expansions, frames (42C15) Algebraic systems of matrices (15A30) Sampling theory in information and communication theory (94A20)
Uses Software
Cites Work
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- Oblique projections and sampling problems
- Generalized inverses and sampling problems
- A gentle guide to the basics of two projections theory
- Sampling with arbitrary sampling and reconstruction spaces and oblique dual frame vectors
- Continuous frames in Hilbert space
- On operator ranges
- Symmetric approximation of frames and bases in Hilbert spaces
- Fast Polar Decomposition of an Arbitrary Matrix
- Spectrum of the Product of Operators
- Equivalence relations and distances between Hilbert frames
- Frames, bases and group representations
- Consistent Sampling and Signal Recovery
- A minimum squared-error framework for generalized sampling
- Functions of Matrices
- Two Subspaces
- GENERAL FRAMEWORK FOR CONSISTENT SAMPLING IN HILBERT SPACES
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