Title :
Multicomponent polynomial phase signal analysis using a tracking algorithm
Author :
Tichavsky, Petr ; Händel, Peter
Author_Institution :
Inst. of Inf. Theory & Autom., Czechoslovak Acad. of Sci., Prague, Czech Republic
fDate :
5/1/1999 12:00:00 AM
Abstract :
We describe an efficient technique analyzing signals that comprise a number of polynomial phase components. The technique is based on a previously proposed “multiple frequency tracker”, which is an algorithm for recursive estimation of parameters of multiple sine waves in noise. It has a relatively low SNR threshold and moderate computational complexity
Keywords :
computational complexity; noise; polynomials; recursive estimation; signal processing; tracking; computational complexity; efficient technique; low SNR threshold; multicomponent polynomial phase signal analysis; multiple frequency tracker; multiple sine waves; noise; polynomial phase components; recursive parameter estimation; tracking algorithm; Calculus; Computational modeling; Equations; Gaussian processes; Multidimensional systems; Polynomials; Recursive estimation; Signal analysis; Signal processing algorithms; Transforms;
Journal_Title :
Signal Processing, IEEE Transactions on
