Digital Signal Processing Chapter 7: Parametric Spectrum Estimation
Digital Signal Processing Chapter 7: Parametric Spectrum Estimation
Digital Signal Processing Chapter 7: Parametric Spectrum Estimation
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Prediction of Bandlimited White NoiseS VV (jω)A bandlimited white noise process V (k) sampled atf A = 1/T has the ACFN 02−ω gω gωr V V (κT) = σ 2 V · sin(ω gTκ)ω g Tκ , with σ2 V = f g · N 0 .For a first order predictor we getp 1 = r V V (T)r V V (0) = sin(ω gT)ω g Tand σ 2 E = σ2 V − r V V (T) · rV V (T)r V V (0) .60a) PrädiktionsgewinnG/dB →504030n=1620n=210n=100 0.2 0.4 0.6 0.8 1Ω g /π →The prediction gain G dB then is( ) σ2G dB = 10log V10G dB = 10log 10[(1 −σ 2 E(sin(ωg T)ω g T) 2)] −1Linear Prediction Page 12