Minimum phase compensation in speech coding using hammerstein model
نویسندگان
چکیده
When using Bai’s method for estimating the coefficients of both the linear and nonlinear parts of a Hammerstein model, there is no guarantee that the resulting linear filter will be stable. To obtain a stable linear filter the well-known minimum phase correction can be used. However, if it used without some compensation in the nonlinear part, one obtains a Hammerstein model with no theoretical foundation. In this paper we present a simple method for compensating the nonlinear part for corrections performed to the linear part. The compensation proved to be stable and fulfills the requirements of combined parameter estimation.
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