Digital Signal Processing Chapter 7: Parametric Spectrum Estimation
Digital Signal Processing Chapter 7: Parametric Spectrum Estimation
Digital Signal Processing Chapter 7: Parametric Spectrum Estimation
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
example 5:comparison parametric ←→ traditionalLDS in dB →0-5-10-15-20-25-30Burg-Algorithma) Burg-Algorithmus2σ-Grenzeideal (-)Mittelw.(--)-35-40-45-500 0.5 1 1.5 2 2.5 3 3.5 4f in kHz →Yule-Walker (with/without window function)LDS in dB →0-5-10-15-20-25-30ohneFensterb) Yule-Walker-Methode2σ-Grenzeideal (-)Mittelw.(--)-35-40-45-500 0.5 1 1.5 2 2.5 3 3.5 4f in kHz →• Monte-Carlo simulation ⇒ bias and scattering (2σ(95%)-border)• Burg-Method and Yule-Walker-estimation with window function comparable• Yule-Walker-estimation without window function: bad unbiasedness (bias!)application for speech coding Page 42