Abstract
We demonstrate that for all linear devices and/or sensors, signal requisition and reconstruction is naturally a mathematical frame expansion and reconstruction issue, whereas the measurement is carried out via a sequence generated by the exact physical response function (PRF) of the device, termed sensory frame {h n }. The signal reconstruction, on the other hand, will be carried out using the dual frame \(\{\tilde{h}^{a}_{n}\}\) of an estimated sensory frame {h a n }. This consequently results in a one-sided perturbation to a frame expansion, which resides in each and every signal and image reconstruction problem. We show that the stability of such a one-sided frame perturbation exits. Examples of image reconstructions in de-blurring are demonstrated.
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Aldroubi, A.: Portraits of frames. Proc. Am. Math. Soc. 123, 1661–1668 (1995)
Aldroubi, A., Sun, Q., Tang, W.S.: p-frames and shift invariant subspaces of L p. J. Fourier Anal. Appl. 7(1), 1–21 (2001)
Balan, R.: Equivalence relations and distances between Hilbert frames. Proc. Am. Math. Soc. 127(8), 2353–2366 (1999)
Balan, R., Casazza, P., Heil, C., Landau, Z.: Deficits and excesses of frames. Adv. Comput. Math. 18, 93–116 (2003)
Benedetto, J.J.: Frame decompositions, sampling, and uncertainty principle inequalities. In: Benedetto, J.J., Frazier, M.W. (eds.) Wavelets: Mathematics and Applications. CRC Press, Boca Raton (1994). Chap. 7
Benedetto, J.J., Walnut, D.F.: Gabor frames for L 2 and related spaces. In: Benedetto, J.J., Frazier, M.W. (eds.) Wavelets: Mathematics and Applications. CRC Press, Boca Raton (1994). Chap. 3
Casazza, P.G., Christensen, O.: Perturbation of operators and applications to frame theory. J. Fourier Anal. Appl. 3, 543–557 (1997)
Casazza, P.G., Christensen, O.: Frames containing a Riesz basis and preservation of this property under perturbation. SIAM J. Math. Anal. 29(1), 266–278 (1998)
Christensen, O.: Frame perturbations. Proc. Am. Math. Soc. 123, 1217–1220 (1995)
Christensen, O., Heil, C.: Perturbations of Banach frames and atomic decompositions. Math. Nachr. 185, 33–47 (1997)
Daubechies, I.: The wavelet transform, time-frequency localization and signal analysis. IEEE Trans. Inf. Theory 36(5), 961–1005 (1990)
Daubechies, I.: Ten lectures on wavelets (1992)
Daubechies, I., Grossmann, A., Meyer, Y.: Painless nonorthogonal expansions. J. Math. Phys. 27, 1271–1283 (1986)
DeVito, C.: Functional Analysis and Linear Operator Theory. Addison-Wesley, Reading (1990)
Duffin, R., Schaeffer, A.: A class of nonharmonic Fourier series. Trans. Am. Math. Soc. 72, 341–366 (1952)
Favier, S.J., Zalik, R.A.: On the stability of frames and Riesz bases. Appl. Comput. Harmon. Anal. 2, 160–173 (1995)
Feichtinger, H.G., Gröchenig, K.: Gabor wavelets and the Heisenberg group: Gabor expansions and short time Fourier transform from the group theoretical point of view. In: Chui, C.K. (ed.) Wavelets: A Tutorial in Theory and Applications, vol. 2, pp. 359–398. Academic Press, San Diego (1992)
Feichtinger, H.G., Kaiblinger, N.: Varying the time-frequency lattice of Gabor frames. Trans. Am. Math. Soc. 356, 2001–2023 (2004)
Han, D.: Approximations for Gabor and wavelet frames. Trans. Am. Math. Soc. 355, 3329–3342 (2003)
Han, D.: Tight frame approximation for multi-frames and super-frames. J. Approx. Theory 129(1), 78–93 (2004)
Heil, C., Walnut, D.: Continuous and discrete wavelet transforms. SIAM Rev. 31, 628–666 (1989)
Larson, D.: Frames and wavelets from an operator-theoretical point of view. Contemp. Math. 228, 201–218 (1998)
Larson, D., Han, D.: Frames, bases and group representations. Mem. Am. Math. Soc. 147(697) (2000)
Li, S.: On general frame decompositions. Numer. Funct. Anal. Optim. 16(9 & 10), 1181–1191 (1995)
Li, S., Ogawa, H.: Pseudoframes for subspaces with applications. J. Fourier Anal. Appl. 10(4), 409–431 (2004)
Li, S., Yao, Z., Yi, W.: Frame fundamental super-resolution image fusion. Preprint (2009)
Naylor, A.W., Sell, G.R.: Linear Operator Theory in Engineering and Science. Springer, Berlin (1982)
Sun, Q.: Frames in spaces with finite rate of innovation. Adv. Comput. Math. 28, 301–329 (2008)
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S. Li is supported in part by NSF Grants of USA DMS-0406979 and DMS-0709384.
D. Yan is supported in part by the Natural Science Foundation of China under grants 10571014 and 10631080.
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Li, S., Yan, D. Frame Fundamental Sensor Modeling and Stability of One-Sided Frame Perturbation. Acta Appl Math 107, 91–103 (2009). https://doi.org/10.1007/s10440-008-9419-8
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DOI: https://doi.org/10.1007/s10440-008-9419-8
Keywords
- Sensor modeling
- Frames
- Dual frames
- Frame expansions
- Sampling
- Signal reconstruction
- Image enhancement
- Deblurring