Abstract
The detection of gravitational wave usually requires to match the measurement data with a large number of templates, which is computationally very expensive. Compressed sensing methods allow one to match the data with a small number of templates and interpolate the rest. However, the interpolation process is still computationally expensive. In this chapter, we designed a novel method that only requires to match the data with a few templates, yet without needing any interpolation process. The algorithm worked well for signals with relatively high SNRs. It also showed promise for low SNRs signals.
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Wang, Y. (2016). Fast Detection and Automatic Parameter Estimation of a Gravitational Wave Signal with a Novel Method. In: First-stage LISA Data Processing and Gravitational Wave Data Analysis. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-26389-2_12
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DOI: https://doi.org/10.1007/978-3-319-26389-2_12
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