Paper data
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
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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