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Development of Nonlinear Lattice-Hammerstein Filters for Gaussian Signals

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Figure

Fig. 1 A Hammerstein forward prediction-error filter with the nonlinear degree of P and m memories
Fig. 2),
Fig. 2 A Hammerstein backward prediction-error filter with the nonlinear degree of P and m memories
Fig. 4 Properties of  lattice-Hammerstein coefficients for P=2, M=10, and variance of 0.0248, (a) orthogonal property of backward errors, (b) power of forward & backward errors,  and (c) orthogonal property of forward/backward errors to the input signal
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