A Comparison Between Different Discrete Ambiguity Domain Definitions in Stochastic Time-Frequency Analysis
| Autor: | Johan K. Sandberg, Maria Hansson-Sandsten |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Signal processing
Covariance function Stochastic process media_common.quotation_subject Ambiguity Covariance Domain (software engineering) Discrete time and continuous time Signal Processing Calculus Applied mathematics Electrical and Electronic Engineering Equivalence (measure theory) media_common Mathematics |
| Zdroj: | IEEE Transactions on Signal Processing. 57:868-877 |
| ISSN: | 1941-0476 1053-587X |
| Popis: | The ambiguity domain plays a central role in estimating the time-varying spectrum and in estimating the covariance function of nonstationary random processes in continuous time. For processes in discrete time, there exist different definitions of the ambiguity domain, but it is well known that neither of these definitions perfectly resembles the usefulness of the continuous ambiguity domain. In this paper, we present some of the most frequently used definitions of the ambiguity domain in discrete time: the Claasen-Mecklenbrauker, the Jeong-Williams, and the Nuttall definitions. For the first time, we prove their equivalence within some necessary conditions and we present theorems that justify their usage. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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