Uncertainty principles in Banach spaces and signal recovery

[摘要] A very general uncertainty principle is given for operators on Banach spaces. Many consequences are derived, including uncertainty principles for Bessel sequences in Hilbert spaces and for integral operators between measure spaces. In particular it implies an uncertainty principle for L-p(G), 1 <= p <= infinity, for a locally compact Abelian group G, concerning simultaneous approximation of f is an element of E L-p(G) by gf and H * f for suitable g and H. Taking g and 9 to be characteristic functions then gives an uncertainty principle about epsilon-concentration of f and (f) over cap, which generalizes a result of Smith, which in turn generalizes a well-known result of Donoho and Stark. The paper also generalizes to the setting of Banach spaces a related result of Donoho and Stark on stable recovery of a signal which has been truncated and corrupted by noise. In particular, this can be applied to the recovery of missing coefficients in a series expansion. (C) 2006 Elsevier Inc. All rights reserved.

[发布日期] 2006-11-01

[效力级别]  Proceedings Paper

[关键词] uncertainty principles;time- or frequency-concentrated functions;signal recovery