Signal Sampling According to Time-Varying Bandwidth

Proceedings of the 20th European Signal Processing Conference (EUSIPCO 2012) 2012
Rolands Šāvelis, Modris Greitāns

The paper addresses the problem of signal-dependent sampling of analogue signals according to local bandwidth. An extended sampling theorem is given which states that signals can be sampled non-uniformly and then perfectly reconstructed if spectrum obtained by an extended Fourier transform (EFT) is bandlimited. Since, according to the theorem, the sampling instants are determined by the function used in EFT, the aim is to find such function which reflects the time-varying spectral content of the signal. This, in comparison to uniform sampling, allows reducing the number of samples required to represent the signal. The results have been demonstrated by numerical simulations on two signals.

Atslēgas vārdi
Signal-dependent sampling, extended sampling theorem, maximum instantaneous frequency, signal decomposition
Hipersaite
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2012/Conference/papers/1569574175.pdf

Šāvelis, R., Greitāns, M. Signal Sampling According to Time-Varying Bandwidth. No: Proceedings of the 20th European Signal Processing Conference (EUSIPCO 2012), Rumānija, Bucharest, 27.-31. augusts, 2012. Piscataway: IEEE, 2012, 1164.-1168.lpp. ISBN 978-1-4673-1068-0. ISSN 2219-5491.

Publikācijas valoda
English (en)