Method and system for removing very low frequency noise from a time-based data set
First Claim
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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Abstract
A method and system are disclosed for removing very low frequency noise from a time-based data set for use in data analysis of the time-based data set having a plurality of data points, the method comprising providing the time-based data set to be analyzed, determining a baseline value from at least a portion of the data set, smoothing the data set to diminish an effect of extraneous data points and obtain smoothed data, wherein the smoothing includes using a Fast Fourier Transform (FFT) algorithm to transfer the time-based data set into a frequency based data set, attenuating low frequencies of the frequency-based data set and using an inverse Fourier Transform (FFT) algorithm to transfer the attenuated frequency based data set into an attenuated time-based data set.
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Citations
12 Claims
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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:
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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. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system 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:
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a data provider for providing said time-based data set to be analyzed; a baseline determiner for determining a baseline value from at least a portion of said data set; a low frequency noise data smoother for 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 a display unit for displaying said smoothed data. - View Dependent Claims (8, 9, 10, 11, 12)
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Specification