Patents by Inventor Peter Matschek

Peter Matschek has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and system for removing very low frequency noise from a time-based data set
    Patent number: 7321845
    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.
    Type: Grant
    Filed: April 13, 2005
    Date of Patent: January 22, 2008
    Assignee: Pratt & Whitney Canada Corp.
    Inventors: Phuc Luong Nguyen, Denis Collin, Peter Matschek
  • Method and apparatus for comparing a data set to a baseline value
    Patent number: 7216063
    Abstract: A method and system are disclosed for comparing a data set to a baseline value for use in data analysis of the data set having a plurality of data points, the method comprising providing the data set to be analyzed, locating potentially bad data points in at least a portion of the data set using an odd-man out recursive technique, preparing a baseline set by discarding the potentially bad data points from the at least a portion of the data set and calculating a baseline value from the baseline set.
    Type: Grant
    Filed: April 13, 2005
    Date of Patent: May 8, 2007
    Assignee: Pratt & Whitney Canada Corp.
    Inventors: Phuc Luong Nguyen, Denis Collin, Peter Matschek
  • Method and system for trend detection and analysis
    Patent number: 7039554
    Abstract: A method for comparing a data set to a baseline value comprising: providing the data set to be analyzed; locating potentially bad data points in at least a portion of the data set using an odd-man out recursive technique; preparing a baseline set by discarding the potentially bad data points from the at least a portion of the data set; and calculating a baseline value from the baseline set.
    Type: Grant
    Filed: June 6, 2003
    Date of Patent: May 2, 2006
    Assignee: Pratt & Whitney Canada Corp.
    Inventors: Phuc Luong Nguyen, Denis Collin, Peter Matschek
  • Method and system for removing very low frequency noise from a time-based data set
    Publication number: 20050209821
    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.
    Type: Application
    Filed: April 13, 2005
    Publication date: September 22, 2005
    Inventors: Phuc Nguyen, Denis Collin, Peter Matschek
  • Method and apparatus for comparing a data set to a baseline value
    Publication number: 20050209823
    Abstract: A method and system are disclosed for comparing a data set to a baseline value for use in data analysis of the data set having a plurality of data points, the method comprising providing the data set to be analyzed, locating potentially bad data points in at least a portion of the data set using an odd-man out recursive technique, preparing a baseline set by discarding the potentially bad data points from the at least a portion of the data set and calculating a baseline value from the baseline set.
    Type: Application
    Filed: April 13, 2005
    Publication date: September 22, 2005
    Inventors: Phuc Nguyen, Denis Collin, Peter Matschek
  • Method and system for trend detection and analysis
    Publication number: 20040148139
    Abstract: A method for comparing a data set to a baseline value comprising: providing the data set to be analyzed; locating potentially bad data points in at least a portion of the data set using an odd-man out recursive technique; preparing a baseline set by discarding the potentially bad data points from the at least a portion of the data set; and calculating a baseline value from the baseline set. A method for smoothing a data set comprising: providing the 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 low-point weighted average and regression technique.
    Type: Application
    Filed: June 6, 2003
    Publication date: July 29, 2004
    Inventors: Phuc Luong Nguyen, Denis Collin, Peter Matschek