Title :
Using an IIR adaptive filter bank to analyze short data segments of noisy sinusoids
Author :
Martin, Kenneth W. ; Padmanabhan, Mukund
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
fDate :
8/1/1993 12:00:00 AM
Abstract :
An infinite impulse response (IIR) adaptive resonator-in-a-loop filter bank that can be used for high-resolution spectral analysis of not only long data segments, but short data segments as well, with accuracies approaching the Cramer-Rao lower bounds for SNRs as well as 10 dB is described. The basic approach taken is to reanalyze the data segment many times while running the data forward and backward through the filter, as the coefficients converge. Special care is taken at the data endpoints, when reinitializing the filter state variables, to eliminate transients
Keywords :
adaptive filters; digital filters; filtering and prediction theory; spectral analysis; Cramer-Rao lower bounds; IIR adaptive filter bank; filter state variables; high-resolution spectral analysis; infinite impulse response; noisy sinusoids; resonator-in-a-loop filter bank; short data segments; Adaptive filters; Data analysis; Filter bank; Frequency; IIR filters; Sampling methods; Signal analysis; Signal processing algorithms; Signal resolution; Spectral analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
