TY - GEN
T1 - Time-frequency decomposition of band-limited signals with BMFLC and Kalman filter
AU - Wang, Yubo
AU - Veluvolu, K. C.
PY - 2012
Y1 - 2012
N2 - Time-Frequency analysis of band-limited signals received significant attention in biomedical research. As most bio-signals are non-stationary, time-frequency analysis is essential to analyze the characteristics of the signal. To accurately model the band-limited bio-signal, band-limited multiple Fourier linear combiner (BMFLC), a linear combination of truncated multiple Fourier series models is employed. A state-space model for BMFLC in combination with Kalman filter/smoother is developed to obtain accurate adaptive estimation. By virtue of construction, BMFLC with Kalman filter provides accurate time-frequency decomposition of the bandlimited signal. To evaluate the proposed algorithm, a comparison with short-time Fourier transform (STFT) and continuous wavelet transform (CWT) for synthesized data is performed in this paper. The results show that the proposed algorithm can provide optimal time-frequency resolution as compared to STFT and CWT.
AB - Time-Frequency analysis of band-limited signals received significant attention in biomedical research. As most bio-signals are non-stationary, time-frequency analysis is essential to analyze the characteristics of the signal. To accurately model the band-limited bio-signal, band-limited multiple Fourier linear combiner (BMFLC), a linear combination of truncated multiple Fourier series models is employed. A state-space model for BMFLC in combination with Kalman filter/smoother is developed to obtain accurate adaptive estimation. By virtue of construction, BMFLC with Kalman filter provides accurate time-frequency decomposition of the bandlimited signal. To evaluate the proposed algorithm, a comparison with short-time Fourier transform (STFT) and continuous wavelet transform (CWT) for synthesized data is performed in this paper. The results show that the proposed algorithm can provide optimal time-frequency resolution as compared to STFT and CWT.
KW - Adaptive Filter
KW - Band Limited Multiple Fourier Linear Combiner
KW - Kalman Filter
KW - Time-Frequency analysis
UR - https://www.scopus.com/pages/publications/84871698986
U2 - 10.1109/ICIEA.2012.6360794
DO - 10.1109/ICIEA.2012.6360794
M3 - Conference contribution
AN - SCOPUS:84871698986
SN - 9781457721175
T3 - Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
SP - 582
EP - 587
BT - Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
T2 - 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Y2 - 18 July 2012 through 20 July 2012
ER -