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Paper data
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Title:
Subband decomposition and frequency warping for spectral estimation

Author(s):
Bonacci David, TeSA/ENSEEIHT
Michel Patrice, TeSA/ENSEEIHT
Mailhes Corinne, TeSA/ENSEEIHT

Page numbers in the proceedings:
Volume III pp 147-150

Session:
Frequency Estimation

Paper abstract
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Subband decomposition has already been shown to increase the performances of spectral estimation but induced frequency overlapping may be troublesome, bringing edge effects, when spectral estimation is applied after subband decomposition and decimation. This paper proposes a new spectral estimation procedure based on subband decomposition and frequency warping which reduces the overlapping frequency problem. Simulation results confirm the interest of this new algorithm.

Paper
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A PDF version is available here

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