DocumentCode
3582262
Title
Spectrally smoothed polynomial fourier transform for time-frequency characterization at low SNR
Author
Abeysekera, Saman S.
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2014
Firstpage
1
Lastpage
6
Abstract
Frequency Modulated (FM) signals are encountered in many natural and human-made applications in earth, oceanic and atmospheric environments. In this paper, the limitations and optimality of existing FM signal characterization methods, in particular at low signal to noise ratios are investigated. For proper characterization, the selection of a time-frequency representation through spectrally smoothed Polynomial Fourier transform is proposed. The efficiency and the optimality of the method are elaborated.
Keywords
Fourier transforms; polynomials; signal representation; spectral analysis; time-frequency analysis; FM signal characterization method; SNR; frequency modulated signal; signal to noise ratio; spectrally smoothed polynomial Fourier transform; time-frequency characterization; Bandwidth; Fourier transforms; Frequency modulation; Polynomials; Signal to noise ratio; Time-frequency analysis; Polynomial Fourier transform; S-method TFD; STFT; WVD; time-frequency distributions;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation for Sustainability (ICIAfS), 2014 7th International Conference on
Type
conf
DOI
10.1109/ICIAFS.2014.7069588
Filename
7069588
Link To Document