Rodrigues, MRD;
Deligiannis, N;
Lai, L;
Eldar, YC;
(2017)
Rate-distortion trade-offs in acquisition of signal parameters.
In: Bayoumi, Magdy A., (ed.)
Proceedings of the 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
(pp. pp. 6105-6109).
IEEE: LA, USA.
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Abstract
We consider problems where one wishes to represent a parameter associated with a signal source - subject to a certain rate and distortion - based on the observation of a number of realizations of the source signal. By reducing these indirect vector quantization problems to a standard vector quantization one, we provide a bound to the fundamental interplay between the rate and distortion in the large-rate setting. We specialize this characterization to two particular quantization scenarios: i) the representation of the mean of a multivariate Gaussian source; and ii) the representation of the eigen-spectrum of a multivariate Gaussian source. Numerical results compare our quantization approach to an approach where one recovers the parameters from the representation of the source signals itself: in addition to revealing that the characterization is sharp in the large-rate setting, the results also show that our approach offers considerable gains.
| Type: | Proceedings paper |
|---|---|
| Title: | Rate-distortion trade-offs in acquisition of signal parameters |
| Event: | 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| Location: | New Orleans, LA |
| Dates: | 05 March 2017 - 09 March 2017 |
| ISBN-13: | 978-1-5090-4116-9 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICASSP.2017.7953329 |
| Publisher version: | https://doi.org/10.1109/ICASSP.2017.7953329 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Signal Acquisition, Signal Parameters Acquisition, Rate-Distortion, Vector Quantization |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10063247 |
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