WestminsterResearch will not be accepting deposits until 9th March 2015. This is to allow for a system upgrade and server migration.

A novel spectral estimation method by using periodic nonuniform sampling

Qu, Dongdong and Tarczynski, Andrzej (2007) A novel spectral estimation method by using periodic nonuniform sampling. In: Conference Record of The Forty-First Asilomar Conference on Signals, Systems & Computers, November 4-7 2007, Pacific Grove, California. IEEE, Los Alamitos, USA, pp. 1134-1138. ISBN 9781424421107


Official URL: http://dx.doi.org/10.1109/ACSSC.2007.4487400


In this paper we present a method of estimating power spectrum density of random ergodic signals. The method allows use of arbitrarily low sampling rates to achieve the goal. We compare our method with similar schemes reported in research literature and argue superiority of our approach in terms of its suitability for practical implementations. The most visible difference between our approach and the previously reported ones consists in replacing Poisson additive random sampling with deterministic sampling. Comparing with the approaches based on the Poisson additive random sampling, where theoreticall infinitely large resources are needed to implement them accurately, our approach clearly relies on limited and well defined resources.

Item Type:Book Section
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:5257
Deposited On:24 Jun 2008 15:22
Last Modified:11 Aug 2010 15:33

Repository Staff Only: item control page