Abstract
A Grassmannian fusion frame is an optimal configuration of subspaces of a given vector space, that are useful in some applications related to representing data in signal processing. Grassmannian fusion frames are robust against noise and erasures when the signal is reconstructed. In this paper, we present an approach to construct optimal Grassmannian fusion frames based on a given Grassmannian frame. We also analyse an algorithm for sparse fusion frames which was introduced by Calderbank et al. and present necessary and sufficient conditions for the output of that algorithm to be an optimal Grassmannian fusion frame.
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References
C. Bachoc and M. Ehler, Tight p-fusion frames, Appl. Comput. Harmon. Anal., 35(1) (2013), 1–15.
R. Balan, P. G. Casazza, and D. Edidin, On signal reconstruction without noisy phase, Appl. Comp. Harm. Anal., 20(3) (2006), 345–356.
R. V. Balan, I. Daubechies, and V. Vaishampayan, The analysis and design of windowed Fourier frame based multiple description source coding schemes, IEEE Trans. Inf. Theory, 46(7) (2000), 2491–2536.
B. G. Bodmann and V. I. Paulsen, Frame paths and error bounds for sigma-delta quantization, Appl. Comput. Harmon. Anal., 22(2) (2007), 176–197.
B. Boufounos, G. Kutyniok, and H. Rauhut, Sparse recovery from combined fusion frame measuements, IEEE Trans. Inform. Theory., 57(6) (2011), 3864–3876.
R. Calderbank, P. G. Casazza, A. Heinecke, G. Kutyniok, and A. Pezeshki, Sparse fusion frame: Existence and construction, Appl. Comput. Harmon. Anal., 22(2) (2007), 176–197.
E. J. Candes and D. L. Donoho, New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities, Comm. Pure and Appl. Math., 57(2) (2004), 219–266.
P. G. Casazza, A. Heinecke, and G. Kutyniok, Optimally sparse fusion frames: Existence and construction, Sampta’11 Singapore, Proc., (2011).
P. G. Casazza and G. Kutyniok, Frames of subspaces, In: Wavelets, frames and operator theory, College Park, MD, 2003, In: Contemp. Math., 345, Amer. Math. Soc., Providence, RI, (2004), 87–113.
P. G. Casazza and G. Kutyniok, Fusion frames and distributed processing, Appl. Comput. Harmon. Anal., 25(1) (2008), 114–132.
J. H. Conway, R. H. Hardin, and N. J. A. Sloane, Packing lines, planes, etc.: Packings in Grassmannian spaces, Experiment. Math., 5(2) (1996), 139–159.
I. Daubechies, B. Han, A. Ron and Z. Shen, Framelets: MRA-based constructions of wavelet frames, Appl. Comp. Harm. Anal., 14(1) (2003), 1–46.
Y. C. Eldar, Sampling and reconstruction in arbitrary spaces and oblique dual frame vectors, J. Fourier Analys. Appl., 1(9) (2003), 77–96.
V. K. Goyal and J. Kovacevic, Quantized frame expansions with erasures, J. Fourier Analys. Appl., 1(9) (2003), 77–96.
K. Grochenig, Fundation of Time-frequency analysis, Applied and numerical harmonic analysis, Birkhauser, Boston, MA (1998).
Emily J. King, Grassmannian fusion frames, arXiv:1004.1086, (2010).
G. Kutyniok, A. Pezeshki, R. Calderbank, and T. Liu, Robust dimension reduction, fusion frames, and Grassmannian packings, Appl. Comput. Harmon. Anal., 26(1) (2009), 64–76.
E. Osgooei and A. A. Arefi-Jamaal, Compare and contrast duals of fusion and discrete frames, Sahand Commun. Math. Anal., 8(1) (2016), 83–96.
A. Rahimi, Z. Darvishi, and B. Daraby, On the duality of c-fusion frames in Hilbert spaces, Anal. Math. Phys., 7(4) (2016), 335–348.
T. Strohmer and R. W. Heath Jr., Grassmannian frames with applications to coding and communication, Appl. Comput. Harmon. Anal., 14(3) (2003), 257–275.
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Mohammadpour, M., Kamyabi-Gol, R.A. & Hodtani, G.A. Equichordal Tight Fusion Frames. Indian J Pure Appl Math 51, 889–900 (2020). https://doi.org/10.1007/s13226-020-0439-z
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DOI: https://doi.org/10.1007/s13226-020-0439-z