• DocumentCode
    3401505
  • Title

    Estimating sinusoidal parameters of musical tones based on global waveform fitting

  • Author

    Ding, Yinong ; Qian, Xiaoshu

  • Author_Institution
    DSP R&D Center, Texas Instrum. Inc., Dallas, TX, USA
  • fYear
    1997
  • fDate
    23-25 Jun 1997
  • Firstpage
    95
  • Lastpage
    100
  • Abstract
    A novel approach to the analysis of musical tones using a quadratic polynomial phase sinusoids plus residual data model is presented. Taking advantage of the fact that musical signals are usually analyzed off-line, the proposed approach estimates the sinusoidal parameters of a musical tone such that its waveform fits the data model in a least square sense, and has obvious advantages over the existing sinusoidal model-based music analysis/synthesis algorithms in terms of data reduction and computational complexity. Sound examples are included to demonstrate the effectiveness of the proposed approach
  • Keywords
    computational complexity; data reduction; electronic music; multimedia computing; music; computational complexity; data reduction; global waveform fitting; musical tones; quadratic polynomial phase sinusoids; residual data model; sinusoidal parameters; waveform fitting; Algorithm design and analysis; Data models; Filters; Interpolation; Parameter estimation; Polynomials; Signal analysis; Signal processing algorithms; Signal synthesis; Stochastic resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 1997., IEEE First Workshop on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    0-7803-3780-8
  • Type

    conf

  • DOI
    10.1109/MMSP.1997.602619
  • Filename
    602619