Title :
Time Localised Band Filtering Using Modified S-Transform
Author :
George, Nithin V. ; Sahu, Sitanshu Sekhar ; Mansinha, L. ; Tiampo, K.F. ; Panda, G.
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Rourkela, India
Abstract :
A noisy time series, with both signal and noise varying in frequency and in time, presents special challenges for improving the signal to noise ratio. A modified S-transform time-frequency representation is used to filter a synthetic time series in a two step filtering process. The filter method appears robust within a wide range of background noise levels.
Keywords :
filtering theory; signal processing; time-frequency analysis; transforms; background noise levels; modified S-transform; noisy time series; signal to noise ratio; synthetic time series; time localised band filtering; time-frequency representation; two step filtering process; Background noise; Biomedical engineering; Chirp; Filtering; Filters; Geoscience; Maintenance engineering; Signal processing; Signal to noise ratio; Time frequency analysis; S Transform; Time Frequency filtering;
Conference_Titel :
2009 International Conference on Signal Processing Systems
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3654-5
DOI :
10.1109/ICSPS.2009.63
