English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  A Student-t based filter for robust signal detection

Röver, C. (2011). A Student-t based filter for robust signal detection. Physical Review D, 84(12): 122004. doi:10.1103/PhysRevD.84.122004.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0012-1BC5-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0012-1BC7-0
Genre: Journal Article

Files

show Files
hide Files
:
1109.0442 (Preprint), 422KB
Name:
1109.0442
Description:
File downloaded from arXiv at 2011-09-13 10:48
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
:
PRD84_122004.pdf (Any fulltext), 453KB
File Permalink:
-
Name:
PRD84_122004.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Röver, Christian1, Author              
Affiliations:
1Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24011              

Content

show
hide
Free keywords: Physics, Data Analysis, Statistics and Probability, physics.data-an,General Relativity and Quantum Cosmology, gr-qc,Statistics, Methodology, stat.ME
 Abstract: The search for gravitational-wave signals in detector data is often hampered by the fact that many data analysis methods are based on the theory of stationary Gaussian noise, while actual measurement data frequently exhibit clear departures from these assumptions. Deriving methods from models more closely reflecting the data's properties promises to yield more sensitive procedures. The commonly used matched filter is such a detection method that may be derived via a Gaussian model. In this paper we propose a generalized matched filtering technique based on a Student-t distribution that is able to account for heavier-tailed noise and is robust against outliers in the data. On the technical side, it generalizes the matched-filter's least-squares method to an iterative, or adaptive, variation. In a simplified Monte Carlo study we show that when applied to simulated signals buried in actual interferometer noise it leads to a higher detection rate than the usual (Gaussian) matched filter.

Details

show
hide
Language(s):
 Dates: 2011-09-022011
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: arXiv: 1109.0442
DOI: 10.1103/PhysRevD.84.122004
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Physical Review D
  Other : Phys. Rev. D.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Lancaster, Pa. : Published for the American Physical Society by the American Institute of Physics
Pages: - Volume / Issue: 84 (12) Sequence Number: 122004 Start / End Page: - Identifier: ISSN: 0556-2821
CoNE: /journals/resource/111088197762258