Abstract: A method and apparatus for de-noising weak bio-signals having a relatively low signal to noise ratio utilizes an iterative process of wavelet de-noising a data set comprised of a new set of frames of wavelet coefficients partially generated through a cyclic shift algorithm. The method preferably operates on a data set having 2N frames, and the iteration is performed N?1 times. The resultant wavelet coefficients are then linearly averaged and an inverse discrete wavelet transform is performed to arrive at the de-noised original signal. The method is preferably carried out in a digital processor.
Type:
Grant
Filed:
May 30, 2006
Date of Patent:
February 19, 2008
Assignees:
Everest Biomedical Instruments Company, Washington University
Inventors:
Elvir Causevic, Eldar Causevic, Mladen Victor Wickerhauser
Abstract: A method and apparatus for de-noising weak bio-signals having a relatively low signal to noise ratio utilizes an iterative process of wavelet de-noising a data set comprised of a new set of frames of wavelet coefficients partially generated through a cyclic shift algorithm. The method preferably operates on a data set having 2N frames, and the iteration is performed N?1 times. The resultant wavelet coefficients are then linearly averaged and an inverse discrete wavelet transform is performed to arrive at the de-noised original signal. The method is preferably carried out in a digital processor.
Type:
Application
Filed:
May 30, 2006
Publication date:
October 19, 2006
Applicant:
EVEREST BIOMEDICAL INSTRUMENTS COMPANY
Inventors:
Elvir Causevic, Eldar Causevic, Mladen Wickerhauser
Abstract: A method and apparatus for de-noising weak bio-signals having a relatively low signal to noise ratio utilizes an iterative process of wavelet de-noising a data set comprised of a new set of frames of wavelet coefficients partially generated through a cyclic shift algorithm. The method preferably operates on a data set having 2N frames, and the iteration is performed N?1 times. The resultant wavelet coefficients are then linearly averaged and an inverse discrete wavelet transform is performed to arrive at the de-noised original signal. The method is preferably carried out in a digital processor.
Type:
Grant
Filed:
March 29, 2002
Date of Patent:
May 30, 2006
Assignee:
Everest Biomedical Instruments Company
Inventors:
Elvir Causevic, Eldar Causevic, Mladen Victor Wickerhauser