Discrete Inverse S Transform With Least Square. Error in Time-Frequency Filters
Journal
IEEE Transactions on Signal Processing
Journal Volume
58
Journal Issue
7
Pages
3557-3568
Date Issued
2010-07
Author(s)
Pai-Wei Wang
Abstract
The S transform is useful in time-frequency analysis. Many inverse S transform algorithms have been proposed with different filtering properties in the time-frequency spectrum. In this paper, the transformation matrices of the S transform and two novel least square inverse algorithms are proposed. The first one minimizes the global mean square error of the entire time-frequency spectrum, and the second one considers only the specific interesting time-frequency regions and is more flexible. The proposed inverse algorithms can provide more stable and better performance than the existing ones.
SDGs
Type
journal article