Wang , Jian and Timoney, Joseph and Hodgkinson, Matthieu
Using Apodization to improve the performance of
the Complex Spectral Phase Estimation (CSPE)
CIICT 2009 : proceedings of the China-Ireland information and communications technologies conference.
Dept. of Computer Science, National University of Ireland, Maynooth, Co. Kildare, Ireland, pp. 47-51.
The recently introduced Complex Spectral Phase
Evolution (CSPE) algorithm is a super-resolution technique for
the estimation of the exact frequency values of sinusoidal
components in a signal. However, if a component of the signal
does not exist within the entire data set, it cannot be identified
out by CSPE algorithm, even though it still may be visible in the
FFT magnitude spectrum. In this paper, we identify the source of
this problem and propose a novel approach to resolve this issue.
Specifically, we will show how to use a window apodization
function to improve the CSPE algorithm. Experimental results
are presented to illustrate the performance enhancement.
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