US 7,321,845 B2 | ||
Method and system for removing very low frequency noise from a time-based data set | ||
Phuc Luong Nguyen, Brossard (Canada); Denis Collin, St. Hubert (Canada); and Peter Matschek, Lachine (Canada) | ||
Assigned to Pratt & Whitney Canada Corp., Longvevil, Quebec (Canada) | ||
Filed on Apr. 13, 2005, as Appl. No. 11/104,645. | ||
Application 11/104645 is a continuation of application No. 10/455367, filed on Jun. 06, 2003, granted, now 7,039,554. | ||
Claims priority of application No. 2417074 (CA), filed on Jan. 24, 2003. | ||
Prior Publication US 2005/0209821 A1, Sep. 22, 2005 | ||
Int. Cl. G06F 7/02 (2006.01) |
U.S. Cl. 702—183 [702/182; 702/186; 702/195] | 12 Claims |
1. A method for removing very low frequency noise from a time-based data set for use in data analysis of said time-based data
set having a plurality of data points, comprising:
providing said time-based data set to be analyzed;
determining a baseline value from at least a portion of said data set;
smoothing the data set to diminish an effect of extraneous data points and obtain smoothed data, wherein said smoothing includes:
using a Fast Fourier Transform (FFT) algorithm to transfer said time-based data set into a frequency based data set;
attenuating low frequencies of said frequency-based data set; and
using an inverse Fourier Transform (IFT) algorithm to transfer said attenuated frequency based data set into an attenuated
time-based data set; and
displaying the smoothed data using a display unit.
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