COMPOSITE MODELING OF NONSTATIONARY SIGNALS.

被引：0

作者：

Boudaoud, M. ^{[1
]}

Chaparro, L.F. ^{[1
]}

机构：

[1] Univ of Pittsburgh, Pittsburgh, PA,, USA, Univ of Pittsburgh, Pittsburgh, PA, USA

来源：

Journal of the Franklin Institute | 1987年 / 324卷 / 0l期

关键词：

SPEECH; -; Synthesis;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Most temporal signals of practical interest are nonstationary and need to be modeled using time-varying systems. In this paper a composite model for these signals is proposed which accounts for nonstationarities in the mean and the autocorrelation functions. Unbiased and consistent time-varying estimators for the mean and the variance functions are studied and used to produce zero-mean, constant-variance signals that can be modeled using autoregressive systems with time-varying coefficients.

引用

页码：3 / 124

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