Published May 21, 2005
| Version v1
Journal article
Wavelet method to reduce binary confusion noise
Creators
- 1. National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588 (Japan)
Description
This paper proposes a data analysis method to reduce the binary confusion noise. We analyse characteristics of the binary confusion noise in a wavelet space and extract a typical level of this noise. Using this level, we reduce the binary confusion noise and drive an approximate form of a burst signal subject to the confusion noise. We show that our method can reduce the influence of confusion noise and obtain an approximate waveform of the desired signal with high accuracy
Availability note (English)
Available online at http://stacks.iop.org/0264-9381/22/S527/cqg5_10_053.pdf or at the Web site for the journal Classical and Quantum Gravity (ISSN 1361-6382) http://www.iop.org/Additional details
Identifiers
- URL
- http://stacks.iop.org/0264-9381/22/S527/cqg5_10_053.pdf; http://www.iop.org/;
- DOI
- 10.1088/0264-9381/22/10/053;
- PII
- S0264-9381(05)88540-5;
Publishing Information
- Journal Title
- Classical and Quantum Gravity
- Journal Volume
- 22
- Journal Issue
- 10
- Journal Page Range
- p. S527-S530
- ISSN
- 0264-9381
- CODEN
- CQGRDG
Conference
- Title
- 5. international LISA symposium; 38. ESLAB symposium
- Dates
- 12-15 Jul 2004
- Place
- Noordwijk (Netherlands)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 36101751
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ACCURACY; DATA ANALYSIS; NOISE; SIGNALS; SPACE; WAVE FORMS