Influence of low frequency noise in adaptive estimation using the LMS algorithm

Signal Processing

Volumn 89, Issue 5, 2009, Pages 933-940

  Brito, D S ^a   Aguiar, Enio ^b   Lucena, Fausto ^c   Freire, R C S ^a   Yasuda, Yoshifumi ^d   Barros, A K ^b  

^a FEDERAL UNIVERSITY OF CAMPINA GRANDE   (Brazil)

^b FEDERAL UNIVERSITY OF MARANHÃO   (Brazil)

^c NAGOYA UNIVERSITY   (Japan)

^d TOYOHASHI UNIVERSITY OF TECHNOLOGY   (Japan)

Author keywords

Adaptive algorithms; Biomedical signals; LMS algorithm; Low frequency; Low frequency noise

Indexed keywords

ADAPTIVE SYSTEMS; ALGORITHMS; BIOELECTRIC PHENOMENA; DISCRETE FOURIER TRANSFORMS; ESTIMATION; FOURIER TRANSFORMS; FREQUENCY ESTIMATION; SPURIOUS SIGNAL NOISE; THERMAL NOISE;

ADAPTIVE ESTIMATIONS; BIOMEDICAL SIGNALS; EVOKED POTENTIALS; HIGHER FREQUENCIES; IMPEDANCE CARDIOGRAPHIES; LMS ALGORITHM; LOW FREQUENCY; LOW FREQUENCY NOISE; MODULATED SIGNALS; QUASI-PERIODIC SIGNALS; SIMULATION RESULTS; TELECOMMUNICATION APPLICATIONS; THEORETICAL RESULTS;

ADAPTIVE ALGORITHMS;

EID: 58849126409     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2008.11.003     Document Type: Article

References (15)

1. V.K. Pandey, P.C. Pandey, Cancellation of respiratory artifact in impedance cardiography in: Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China, September 2005, pp. 5503-5506.
2. B. Widrow, S.D. Stearns, Adaptive Signal Processing Series, first ed. Prentice-Hall New Jersey, USA, 1985.
3. B. Widrow, M.E.T. Hoff Jr., Adaptive switching circuits In: IRE WESCON Convention Record, vol. 4, New York, USA, June 1960, pp. 96-104.
4. S. Haykin, Adaptive filter theory Prentice-Hall Information and System Sciences Series, third ed. Thomas Kailath, Series Ed. New Jersey, USA, October 2005.
5. C.A. Vaz, N.V. Thakor, Adaptive fourier estimation of time-varying evoked potentials IEEE Transactions Biomedical Engineering 36(4) (April 1989) 448-455.
6. C.A. Vaz, X. Kong, N.V. Thakor, An adaptive estimation of periodic signals using a fourier linear combiner IEEE Transactions on Signal Processing 42(1) (January 1994) 1-10.
7. Y. Xiao, Y. Tadokoro, Lms-based notch filter for the estimation of sinusoidal signals in noise Signal Processing 46(2) (October 1995) 223-231.
8. A.K. Barros, M. Yoshizawa, Y. Yasuda, Filtering non-correlated noise in impedance cardiography IEEE Transactions on Biomedical Engineering 42(3) (March 1995) 324-327.
9. A.K. Barros, N. Ohnishi, MSE behavior of biomedical event-related filters IEEE Transactions Biomedical Engineering 44(9) (September 1997) 848-855.
10. F. Gianfelici, G. Biagetti, P. Crippa, C. Turchetti, Multicomponent AM-FM representations: an asymptotically exact approach IEEE Transactions on Audio, Speech, and Language Processing 15(3) (March 2007) 823-837.
11. B. Santhanam, P. Maragos, Multicomponent AM-FM demodulation via periodicity-based algebraic separation and energy-based demodulation IEEE Transactions on Communications 48(3) (March 2000) 473-490.
12. T. Ishiguro, A. Umezu, Y. Yasuda, S. Horihata, A.K. Barros, Modified scaled Fourier linear combiner in thoracic impedance cardiography Computers in Biology and Medicine 36(9) (September 2006) 997-1013.
13. W.G. Kubicek, R.P. Patterson, J.N. Karnegis, D.A. Witsoe, R.H. Mattson, Development and evaluation of an impedance cardiac output system Aerospace Medicine 37(12) (December 1966) 1208-1212.
14. R.P. Patterson, W.G. Kubicek, E. Kinnen, D.A. Witsoe, G. Noren, Development of an electrical impedance plethysmography system to monitor cardiac output in: Proceedings First Annual Rocky Mountain Bioengineering Symposium, U.S. Air Force Academy, Colorado Springs, USA, September 1964, pp. 56-71.
15. B. Widrow, P. Baudrenghien, M. Vetterli, P.F. Titchener, Fundamental relations between the LMS algorithm and the DFT IEEE Transactions on Circuits and Systems Cas-34(7) (July 1987) 814-820.