Title :
A Hybrid Approach to Pattern Recognition of A Nonstationary Signal Using Variable Window STFT and Complex Kalman Filter
Author :
Biswal, B.N. ; Dash, P.K. ; Panda, G. ; Tripathy, P.K.
Author_Institution :
Biju Pattanaik Univ. of Technol., Bhubaneswar
Abstract :
This paper presents a variable window short-time Fourier transform (STFT) and an extended complex Kalman filter (CEKF). The technique is applied to both simulated and experimentally obtained waveform disturbances in the presence of additive noise and the results reveal significant accuracy in completely localizing the changes in amplitude, frequency, and phase of nonstationary sinusoids in noise.
Keywords :
Fourier transforms; Kalman filters; pattern recognition; signal processing; complex Kalman filter; extended complex Kalman filter; nonstationary signal; pattern recognition; short-time Fourier transform; variable window STFT; waveform disturbances; Discrete Fourier transforms; Distortion; Fourier transforms; Frequency estimation; Frequency measurement; Gaussian noise; Pattern recognition; Phase noise; Signal processing; Wavelet transforms;
Conference_Titel :
Information and Communication Technology, 2007. ICICT '07. International Conference on
Conference_Location :
Dhaka
Print_ISBN :
984-32-3394-8
DOI :
10.1109/ICICT.2007.375393
