Authors: Kipp Cannon, Adrian Chapman, Chad Hanna, Drew Keppel, Antony C. Searle, Alan J. Weinstein
Date: 30 Apr 2010
Abstract: We investigate the application of the singular value decomposition to compact-binary, gravitational-wave data-analysis. We find that the truncated singular value decomposition reduces the number of filters required to analyze a given region of parameter space of compact binary coalescence waveforms by an order of magnitude with high reconstruction accuracy. We also compute an analytic expression for the expected signal-loss due to the singular value decomposition truncation.
© M. Vallisneri 2012 — last modified on 2010/01/29
Tantum in modicis, quantum in maximis