Title :
Iterative space reduction techniques for sinusoid detection: some examples and open lines
Author :
Figueiras-Vidal, Anibal R.
Author_Institution :
DSSR ETS Telecom-Univ. Politecnica de Madrid, Spain
Abstract :
The idea of improving frequency detection by considering any sinusoids that might be present and reducing them by means of an iterative algorithm is an immediate generalization that has been obtained from classical bandlimited harmonic signal extrapolation algorithms. The origin of the approach is presented, and its application is discussed for the case when more elaborate frequency detection schemes, such as Wiener filtering and signal subspace-noise subspace methods, are used. Relaxed reduction techniques are also considered
Keywords :
extrapolation; filtering and prediction theory; iterative methods; noise; signal detection; Wiener filtering; classical bandlimited harmonic signal extrapolation; frequency detection; iterative space reduction; signal subspace-noise subspace methods; sinusoid detection; Algorithm design and analysis; Extrapolation; Filtering algorithms; Frequency estimation; Iterative algorithms; Iterative methods; Noise reduction; Power harmonic filters; Sonar detection; Wiener filter;
Conference_Titel :
Electrotechnical Conference, 1991. Proceedings., 6th Mediterranean
Conference_Location :
LJubljana
Print_ISBN :
0-87942-655-1
DOI :
10.1109/MELCON.1991.161767
