Title :
Comments on "The Inverse S-Transform in Filters With Time-Frequency Localization
Author_Institution :
Calgary Sci. Inc., Calgary
Abstract :
The correspondence ldquoThe Inverse S-Transform in Filters With Time-Frequency Localization,rdquo by Schimmel and Gallart, presented a new method of time-frequency filtering with the S-transform. Their technique contains an error, which fortunately can be corrected. This correspondence describes the correction.
Keywords :
filtering theory; inverse problems; time-frequency analysis; transforms; inverse S-transform; time-frequency filtering; time-frequency localization; Attenuation; Equations; Error correction; Filtering; Filters; Fourier transforms; Polarization; Signal detection; Signal processing; Time frequency analysis; Data-adaptive filter; noise attenuation; polarization; seismic signal processing; signal detection; time-frequency analysis; time-varying filters;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2007.896050
