In this paper, a Hilbert transform algorithm is developed based on an analysing wavelet. It has a nice feature that one level of combination wavelet forms an orthogonal filter. As a result, a perfect orthogonality and constant passband are obtained. Meanwhile it solves the problem of selectivity for
A Few Remarks about the Hilbert Transform
β Scribed by J.F. Toland
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 393 KB
- Volume
- 145
- Category
- Article
- ISSN
- 0022-1236
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β¦ Synopsis
A generalized integral similar to integrability B is used to study the Hilbert transform on X= 1 p< L p (R), with a view to obtaining (i) a mollifier which commutes with the Hilbert transform on X and coincides with the Friedrichs mollifier on L loc 1 (R); (ii) estimates for nonlinear equations; (iii) an integral representation for the Hilbert transform of a regular Schwartz distribution; (iv) a generalized multiplier representation of the Hilbert transform on L 1 (R); (v) an elementary proof of the injectivity of H on X.
1997 Academic Press
In a recent study of nonlinear equations involving the Hilbert transform [22] it was useful to know that if u # 1 p< L p (R) (this notation article no. FU963017
π SIMILAR VOLUMES
## Abstract This paper concerns the existence of nontrivial solutions of the RiemannβHilbert problem with a continuous coefficient whose values belong to two rays in the complex plane. Our results extend those recently obtained by E. Shargorodsky and J. F. Toland [6]. (Β© 2004 WILEYβVCH Verlag GmbH
We consider a non-linear stochastic differential equation which involves the Hilbert transform, X t =\_ } B t +2\* t 0 Hu(s, X s ) ds. In the previous equation, u(t, } ) is the density of + t , the lax of X t , and H represents the Hilbert transform in the space variable. In order to define correctl