IMPROVED RECURSIVE ALGORITHM FOR PERIODIC SIGNALS |
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| P. McGlone, J. McGhee, I. A. Henderson |
- Abstract:
- An established robust recursive algorithm for the identification of periodic signals is further developed. Contemporary algorithms for recursive harmonic estimates are restricted in that, once a harmonic value is estimated after one cycle, no further improvement is attained. It is demonstrated that higher order algorithms offer data for the assiduous improvement to the calculated harmonic evaluation. Second and third order improvements to the algorithm are presented. Data smoothing of the recursive frequency analysis estimates allows marked convergence to the authentic value. The enhanced procedure illustrates its capacity to resolve the parameters of an unknown signal. The paper demonstrates that the algorithm is robust in that better convergence is still achieved in the presence of a noisecontaminated signal.
- Keywords:
- identification, recursive algorithm
- Download:
- IMEKO-WC-2000-TC7-P196.pdf
- DOI:
- -
- Event details
- Event name:
- XVI IMEKO World Congress
- Title:
Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future
- Place:
- Vienna, AUSTRIA
- Time:
- 25 September 2000 - 28 September 2000