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Method and device to determine the frequency spectrum of a signal

Patent 5729465 Issued on March 17, 1998. Estimated Expiration Date: Icon_subject June 13, 2016. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Inventor

Assignee

Application

No. 661790 filed on 06/13/1996

US Classes:

702/76, Frequency spectrum324/76.19, Frequency spectrum analyzer342/192, Spectrum analysis702/181Probability determination

Examiners

Primary: Voeltz, Emanuel T.
Assistant: Vo, Hieu T.

Attorney, Agent or Firm

International Classes

G06F 019/00
G06F 017/10

Foreign Application Priority Data

1995-06-13 FR

Abstract

The present invention pertains to the analysis of the frequency spectrum of a signal by a high-resolution method that is more precise than the Fourier transform when all that is available is a small number of samples of the signal. It pertains more particularly to a method for the autoregressive modelling frequency spectral analysis of a signal, known as Burg's maximum entropy method, and consists of a regularization of this method by means of a criterion similar to that already known to have been used in order to regularize the method of autoregressive spectral analysis known as the least error squares method, while at the same time keeping the advantages of Burg's maximum entropy method which are that it can be used in real time with a lattice type computation structure, that it can be extended to multisegment configurations and that it is robust with respect to computation noise, errors of quantization and rounding-off operations.

Other References

  • IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 42, No. 1, pp. 99-110, Jan. 1995, T. Baldeweck, et al., "Application of Autoregressive Special Analysis for Ultrasound Attenuation Estimation: Interest in Highly Attenuating Medium"
  • IEEE Transactions on Signal Processing, vol. 41, No. 3, pp. 1237-1247, Mar. 1993, William Campbell, et al., "Frequency Estimation Performance of Several Weighted Burg Algorithms"
  • IEEE Transactions on Signal Processing, vol. 40, No. 6, pp. 1518-1527, Jun. 1992, Joseph M. Pimbley, "Recursive Autoregressive Spectral Estimation by Minimization of the Free Energy"
  • IEEE Transactions on Signal Processing, vol. 40, No. 1, pp. 249-252, Jan. 1992, Chi-Hsin Wu, et al., "Numerical Performances of Autoregressive Spectrum Estimators Based on Three-Term Recurrences"
  • IEEE Transactions on Signal Processing, vol. 39, No. 1, pp. 185-189, Jan. 1991, B.M. Bell, et al., "A Two Step Burg Algorithm"
  • Proceedings of the 23rd Asilomar Conference on Signals, Systems & Computers, vol. 2, pp. 1051-1055, Oct. 30-Nov. 1, 1989, J.M. Pimbley, et al., "Recursive Minimum Free Energy Spectral Estimation"
  • IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 38, No. 8, pp. 1437-1445, Aug. 1990, Hui-Min Zhang, et al., "An Improved Burg-Type Recursive Lattice Method for Autoregressive Spectral Analysis"
  • IEEE Transactions on Signal Processing, vol. 41, No. 1, pp. 403-407, Jan, 1993, S. Degerine, "Sample Partial Autocorrelation Function"
  • IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 38, No. 1, pp. 175-177, Jan. 1990, Dinh Tuan Pham, et al., "Efficient Computation of Autoregressive Estimates Through a Sufficient Statistic"
  • Proceedings of the 1990 International Conference on Acoustics, Speech, and Signal Processing, vol. 5, pp. 2523-2526, Apr. 3-6, 1990, T. Ning, et al., "Power Spectrum Estimation Via Orthogonal Transformation"
  • Proceedings of Electronicom 1985, vol. 3, pp. 614-617, Oct. 7-9, 1985, S.T. Nichols, et al., "A High Resolution Real Time Digital Spectrum Analyzer-Theory and Implementation"
  • Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. 1345-1347, Mar. 26-29, 1985, P.F. Fougere, "Spectrum Model-Order Determination Via Significant Reflection Coefficients
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