Weighted time-frequency and time-scale transforms in reproducing kernel Hilbert spaces

Leon H. Sibul, Lora G. Weiss, Randy K. Young

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Motivated by the time-frequency, time-scale (TF/TS) implementation of a maximum likelihood detector for transient signals in nonstationary Gaussian noise, we define weighted TF/TS transforms using reproducing kernel Hubert space (RKHS) inner products. Inverses of these weighted TF/TS transforms are also given. The particular case of the weight being the inverse noise covariance is presented. The weighted TF/TS transforms turn out to be natural transforms for solving nonstationary detection, estimation, and filtering problems, and have important applications to transient signal estimation in multipath channels with colored nonstationary Gaussian noise.

Original languageEnglish (US)
Pages (from-to)21-22
Number of pages2
JournalIEEE Signal Processing Letters
Volume4
Issue number1
DOIs
StatePublished - Dec 1 1997

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Weighted time-frequency and time-scale transforms in reproducing kernel Hilbert spaces'. Together they form a unique fingerprint.

  • Cite this