Detecting Signals in a Non-stationary Environment Modeled by a TVAR process, from Data Corrupted by an Additive White Noise
type: Dataset
description: International audience
issued: 2026-05-15T10:46:47.703674
language: en
modified: 2026-05-15T10:46:47.703679
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: estimation
keyword: filtering
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: tvar-process

Detecting Signals in a Non-stationary Environment Modeled by a TVAR process, from Data Corrupted by an Additive White Noise
type: Distribution
format: HTML
issued: 2026-05-15T10:46:47.727889
modified: 2026-05-15T10:46:47.678031
access URL: https://hal.science/hal-00772306

test_moissonnage_selune
type: Agent