Title :
Estimation and smoothing of instantaneous frequency of noisy narrow band signals
Author :
Tichavsky, Petr ; Handel, Peter
Author_Institution :
Inst. of Information Theory and Automation, Academy of Sciences of Czech Republic, P.O. Box 18, 182 08 Prague, CZECH REPUBLIC
Abstract :
Estimation of instantaneous frequency of a narrow-band noise corrupted signal from discrete time phase-only data is considered. By aid of Kalman filter theory, filter and smoothing estimates are derived and their equivalence to estimates obtained by the MFT algorithm is established, MFT being a practical algorithm for multiple frequency tracking and smoothing.
Keywords :
Algorithm design and analysis; Estimation; Frequency estimation; Kalman filters; Signal to noise ratio; Smoothing methods; Time-frequency analysis;
Conference_Titel :
Signal Processing Conference, 2000 10th European
Conference_Location :
Tampere, Finland
Print_ISBN :
978-952-1504-43-3