Title :
A hyperstable adaptive line enhancer for frequency estimation
Author :
Padmanabhan, Mukund
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fDate :
30 Apr-3 May 1995
Abstract :
An adaptive line enhancer is presented that is based on a resonator-based IIR filter, that uses a hyperstable update to do the adaptation. The main feature of the algorithm is that the strict positive reality (SPR) requirement for convergence associated with the hyperstable update, is satisfied by imposing some simple sufficient conditions on the input sinusoidal frequencies, which may be obtained relatively easily, numerically, even for high order cases
Keywords :
IIR filters; adaptive filters; circuit stability; filtering theory; frequency estimation; resonator filters; algorithm; convergence; frequency estimation; hyperstable adaptive line enhancer; hyperstable update; input sinusoidal frequencies; resonator-based IIR filter; strict positive reality requirement; Convergence; Digital filters; Error correction; Feedback loop; Frequency estimation; Frequency shift keying; IIR filters; Line enhancers; Resonator filters; Transfer functions;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.523714
