• DocumentCode
    1805365
  • Title

    Least-squares fitting algorithms applied to periodic signals

  • Author

    Silva, Manuel Fonseca da ; Ramos, Pedro M. ; Martins, Rail C. ; Serra, Antonio Cruz

  • Author_Institution
    Telecommun. Inst., Tech. Univ. of Lisbon, Portugal
  • Volume
    3
  • fYear
    2004
  • fDate
    18-20 May 2004
  • Firstpage
    1730
  • Abstract
    A new generation of multipurpose measurement equipment is transforming the role of computers in instrumentation. The new features involve mixed devices, as analog-to-digital and digital-to-analog converters, and digital signal processing techniques, able to substitute typical discrete instruments like multimeters, analyzers, etc. Signal-processing applications frequently use least-squares sine-fitting algorithms. Periodic signals may be interpreted as a sum of sine waves with multiple frequencies, the Fourier series. This paper proposes a new algorithm which is able to fit a multi-harmonic acquired signal determining the amplitude and phase of all harmonics. Simulation and experimental results are presented.
  • Keywords
    Gaussian noise; analogue-digital conversion; computerised instrumentation; harmonic distortion; least squares approximations; parameter estimation; signal sampling; waveform analysis; ADC; Fourier series; frequency error; higher harmonics; least-squares fitting algorithms; multipurpose measurement equipment; offset fundamental frequency; parameter estimation; periodic signals; triangular wave; Amplitude estimation; Analog-digital conversion; Digital signal processing; Electronic mail; Frequency estimation; Phase estimation; Rails; Railway engineering; Sampling methods; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-8248-X
  • Type

    conf

  • DOI
    10.1109/IMTC.2004.1351415
  • Filename
    1351415