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SUNG JOO KIM 5.2.4 The Step-Up and Step-Down Recursions -20067166

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SUNG JU KIM 2 The Levinson-Durbin recursion 2. produces an all-pole model for a signal from the autocorrelation sequence 1. autocorrelation normal equations a set of reflection coefficientsthe final modeling error the model parameters the autocorrelation sequence => the step-up and step-down recursions. 5.16.

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SUNG JU KIM 3 -. the step-up recursion (1) Initialize the recursion : (2) For j = 0,1,...., p-1 (a) For i = 1,2,...,j (b) (3) b(0) =

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SUNG JU KIM 4 Example 5.2.3 The Step-Up Recursion reflection coefficient sequence : 5.14 5.31 a 1.

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SUNG JU KIM 5 The general form for the second-order all-pole model. lower-order filter

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SUNG JU KIM 6 -. the step-down or backwardLRvinson recursion. -> beginning with a p, we set T p = a p (p) j j+1, a j+1 (i). 5.16 The Levinson order-update equation, a j+1 (i) a j (i) a j+1 (j-i+1).

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4.Results (1)Potential coefficients comparisons Fig.3 FIR filtering(Passband:0.005~0.1HZ) Fig.4 Comparison with ESA’s models (filter passband:0.015~0.1HZ)

4.Results (1)Potential coefficients comparisons Fig.3 FIR filtering(Passband:0.005~0.1HZ) Fig.4 Comparison with ESA’s models (filter passband:0.015~0.1HZ)

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