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
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;
Conference_Titel :
Information and Automation for Sustainability (ICIAfS), 2014 7th International Conference on
DOI :
10.1109/ICIAFS.2014.7069588
