Gravitational waves generated by coalescing binary systems of neutron stars or black holes are expected to behave like chirps, i.e., amplitude and frequency modulated signals, buried in strongly correlated noise, with a very low signal-to-noise ratio. This note presents a wavelet-based algorithm for
Wavelets, Detection, Estimation, and Sparsity
β Scribed by Henry M. Polchlopek; Joseph P. Noonan
- Book ID
- 102569402
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 176 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1051-2004
No coin nor oath required. For personal study only.
β¦ Synopsis
Questions concerning the detection and estimation of signals in noise using the discrete wavelet transform are considered. A theorem is presented that shows the discrete wavelet transform of white noise is spread out over all the transform plane. It is established that a signal which is represented by a small number of wavelet coefficients can be accurately estimated. Moreover, it is also shown that the number of wavelet coefficients needed to represent a signal has a dramatic effect on the ability to estimate the signal. Specifically, two estimation techniques are presented and analyzed. Probability of detection and probability of false alarm results are given for a wide variety of signals. An example is presented to demonstrate the results.
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