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.
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页码：3 / 124
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