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Multicomponent polynomial phase signal analysis using a tracking algorithm

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2 Author(s)
Tichavsky, P. ; Inst. of Inf. Theory & Autom., Czechoslovak Acad. of Sci., Prague, Czech Republic ; Handel, P.

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

Published in:

Signal Processing, IEEE Transactions on  (Volume:47 ,  Issue: 5 )