Artículo

Heineken, S.B.; Morillas, P.M. "Oblique Dual Fusion Frames" (2018) Numerical Functional Analysis and Optimization. 39(7):800-824
Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

We introduce and develop the concept of oblique duality for fusion frames. This concept provides a mathematical framework to deal with problems in distributed signal processing where the signals considered as elements in a Hilbert space are, under certain requirements, analyzed in one subspace and reconstructed in another subspace. The requirements are, on one side, the uniqueness of the reconstructed signal, and on the other what we call consistency of the sampling for fusion frames. Both conditions are naturally related to oblique projections. We study the main properties of oblique dual fusion frames and oblique dual fusion frame systems introduced in this work and present several results that provide alternative methods for their construction. © 2018 Taylor & Francis.

Registro:

Documento: Artículo
Título:Oblique Dual Fusion Frames
Autor:Heineken, S.B.; Morillas, P.M.
Filiación:IMAS, UBA-CONICET, Department of Mathematics, FCEyN, University of Buenos Aires, C.A.B.A, Argentina
Institute of Applied Mathematics of San Luis, UNSL-CONICET, San Luis, Argentina
Department of Mathematics, FCFMyN, UNSL, San Luis, Argentina
Palabras clave:Consistent reconstruction; frames; fusion frames; oblique dual frames; oblique dual fusion frames; oblique projections; Functional analysis; Mathematical techniques; Consistent reconstruction; Dual frames; frames; Fusion frames; Oblique projections; Signal processing
Año:2018
Volumen:39
Número:7
Página de inicio:800
Página de fin:824
DOI: http://dx.doi.org/10.1080/01630563.2017.1421555
Título revista:Numerical Functional Analysis and Optimization
Título revista abreviado:Numer Funct Anal Optim
ISSN:01630563
CODEN:NFAOD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01630563_v39_n7_p800_Heineken

Referencias:

  • Casazza, P.G., Kutyniok, G., Frames of subspaces (2004) Contemp. Math., 345, pp. 87-113
  • Casazza, P.G., Kutyniok, G., (2012) Finite Frames. Theory and Applications, , Birkhäuser, Boston.: and, Eds
  • Casazza, P.G., Kutyniok, G., Li, S., Fusion frames and distributed processing (2008) Appl. Comput. Harmon. Anal., 25, pp. 114-132
  • Chebira, A., Fickus, M., Mixon, D.G., (2011) Filter bank fusion frames. IEEE Trans. Signal Proc., 59, pp. 953-963
  • Chen, X., Powell, A.M., Randomized subspace actions and fusion frames (2016) Constr. Approx., 43, pp. 103-134
  • Christensen, O., (2016) An introduction to frames and Riesz bases, , Second Ed. Birkhäuser, Boston
  • Christensen, O., Eldar, Y.C., Oblique dual frames and shift-invariant spaces (2004) Appl. Comput. Harmon. Anal., 17, pp. 48-68
  • Christensen, O., Eldar, Y.C., Characterization of oblique dual frame pairs (2006) EURASIP J. Appl. Signal Process., 2006, pp. 1-11. , Article ID 092674, and
  • Duffin, R.J., Schaeffer, A.C., A class of nonharmonic Fourier series (1952) Trans. Amer. Math. Soc., 72, pp. 341-366
  • Eldar, Y.C., Sampling with arbitrary sampling and reconstruction spaces and oblique dual frame vectors (2003) J. Fourier Anal. Appl., 9 (1), pp. 77-96
  • Eldar, Y.C., Sampling without input constrains: consistent reconstruction in arbitrary spaces (2003) Sampling, Wavelets and Tomography, pp. 33-60. , Zayed A., Benedetto J.J., (eds), Birkhäuser Boston:. In, eds
  • Eldar, Y.C., Werther, T., General framework for consistent sampling in Hilbert spaces (2005) Int. J. Wavelets Multiresolut. Inf. Process., 3 (4), pp. 497-509
  • Heineken, S.B., Morillas, P.M., Benavente, A.M., Zakowicz, M.I., Dual fusion frames (2014) Arch. Math., 103, pp. 355-365
  • Heineken, S.B., Morillas, P.M., Properties of finite dual fusion frames (2014) Linear Algebra Appl., 453, pp. 1-27
  • Iyengar, S.S., Brooks, R.R., (2012) Distributed Sensor Networks: Sensor Networking and Applications, , 2nd ed., Chapman & Hall/CRC, Baton Rouge: and, Eds
  • Kovačević, J., Chebira, A., An introduction to frames (2008) Found. Trends Signal Process., 2, pp. 1-94
  • Li, S., Yao, Z., Yi, W., Frame fundamental high resolution image fusion frame from inhomogeneous measurements (2012) IEEE Trans Image Process, 21 (9), pp. 4002-4015
  • Li, Y.Z., Lian, Q.F., Multi-window Gabor frames and oblique Gabor duals on discrete periodic sets (2011) Science China Mathematics, 54 (5), pp. 987-1010
  • Unser, M., Aldroubi, A., A general sampling theory for nonideal acquisition devices (1994) IEEE Trans. Signal Processing, 42 (11), pp. 2915-2925
  • Xiao, X.C., Zhu, Y.C., Zeng, X.M., Oblique dual frames in finite-dimensional Hilbert spaces (2013) Int. J. Wavelets Multiresolut Inf. Process., 11 (2), pp. 1-14

Citas:

---------- APA ----------
Heineken, S.B. & Morillas, P.M. (2018) . Oblique Dual Fusion Frames. Numerical Functional Analysis and Optimization, 39(7), 800-824.
http://dx.doi.org/10.1080/01630563.2017.1421555
---------- CHICAGO ----------
Heineken, S.B., Morillas, P.M. "Oblique Dual Fusion Frames" . Numerical Functional Analysis and Optimization 39, no. 7 (2018) : 800-824.
http://dx.doi.org/10.1080/01630563.2017.1421555
---------- MLA ----------
Heineken, S.B., Morillas, P.M. "Oblique Dual Fusion Frames" . Numerical Functional Analysis and Optimization, vol. 39, no. 7, 2018, pp. 800-824.
http://dx.doi.org/10.1080/01630563.2017.1421555
---------- VANCOUVER ----------
Heineken, S.B., Morillas, P.M. Oblique Dual Fusion Frames. Numer Funct Anal Optim. 2018;39(7):800-824.
http://dx.doi.org/10.1080/01630563.2017.1421555