Title :
Wavelet and footprint sampling of signals with a finite rate of innovation
Author :
Dragotti, Pier Luigi ; Vetterli, Martin
Author_Institution :
Electr. & Electron. Eng., Imperial Coll., London, UK
Abstract :
We consider classes of not bandlimited signals, namely streams of Diracs and piecewise polynomial signals, and show that these signals can be sampled and perfectly reconstructed using wavelets as sampling kernel. Due to the multiresolution structure of the wavelet transform, these new sampling theorems naturally lead to the development of a new resolution enhancement algorithm based on wavelet footprints (Dragotti, P.L. and Vetterli, M., IEEE Trans. Sig. Process., vol.51, no.5, p.1306-23, 2003). Preliminary results show the potentiality of this algorithm.
Keywords :
signal reconstruction; signal resolution; signal sampling; wavelet transforms; Dirac streams; finite innovation rate; footprint sampling; multiresolution structure; piecewise polynomial signals; resolution enhancement algorithm; signal reconstruction; signal sampling; wavelet sampling; Discrete wavelet transforms; Educational institutions; Kernel; Polynomials; Sampling methods; Signal processing algorithms; Signal resolution; Signal sampling; Technological innovation; Wavelet transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326414