Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
R. Rivera-Colon , Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
C.S. Lindquist , Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
Adaptive filters are optimum filters whose transfer functions adapt to changing input statistics. Such adaptation is usually needed because of fluctuating signal and/or noise conditions. These filters can be classified in order of increasing difficulty based upon the a priori assumptions about the signal and noise models. A class 2/3 adaptive filter is a transitional filter between class 2 and class 3 filters. In this paper, we use data profiles to formulate class 2/3 filters. Averaging provides an estimate of the signal and eliminates noise. Data profiles can also be used to formulate either class 2 and/or class 3 filters. Results show that this method provides improved estimates of expected signal and/or noise by smoothing the average signal profile. To demonstrate this approach, these results are used to process EKG signals where no a priori information is available.<
adaptive filters, adaptive signal processing, transfer functions, smoothing methods, medical signal processing, electrocardiography
R. Rivera-Colon and C. Lindquist, "The use of data profiles in class 2 and 3 adaptive filters," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1478-1482.