DocumentCode
2932657
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
fYear
2007
fDate
7-9 March 2007
Firstpage
283
Lastpage
286
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technology, 2007. ICICT '07. International Conference on
Conference_Location
Dhaka
Print_ISBN
984-32-3394-8
Type
conf
DOI
10.1109/ICICT.2007.375393
Filename
4261416
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