×

Time-scale approach for chirp detection. II. (English) Zbl 1185.41027

Summary: A new approach for joint detection and estimation of signals embedded in stationary random noise is considered and compared to previously studied methods, for the subclass of amplitude and frequency modulated signals. The method is a “reassigned” version of the Hough-wavelet transform and it is compared to the matched filter approach and the Hough-wavelet transform itself. Extensions to previous results obtained with these two methods are also presented. As target application, the problem of gravitational waves at interferometric detectors is considered. Our main conclusion is that there is no gain in introducing the reassignment operation.
[Part I, cf. M. Morvidone and B. Torresani, Int. J. Wavelets Multiresolut. Inf. Process. 1, No. 1, 19–49 (2003; Zbl 1044.94514).]

MSC:

41A60 Asymptotic approximations, asymptotic expansions (steepest descent, etc.)
26E70 Real analysis on time scales or measure chains
42C40 Nontrigonometric harmonic analysis involving wavelets and other special systems
60G35 Signal detection and filtering (aspects of stochastic processes)
94A12 Signal theory (characterization, reconstruction, filtering, etc.)
62P35 Applications of statistics to physics

Citations:

Zbl 1044.94514
Full Text: DOI

References:

[1] Auger F., IEEE Trans. Signal Process. 40 pp 1068–
[2] DOI: 10.1103/PhysRevD.51.5360 · doi:10.1103/PhysRevD.51.5360
[3] DOI: 10.1088/0264-9381/13/4/002 · Zbl 0875.53011 · doi:10.1088/0264-9381/13/4/002
[4] DOI: 10.1016/j.acha.2007.04.003 · Zbl 1144.94003 · doi:10.1016/j.acha.2007.04.003
[5] Carmona R., Practical Time-Frequency Analysis. Gabor and Wavelet Transforms with an Implementation in S (1998) · Zbl 1039.42504
[6] DOI: 10.1006/acha.1998.0254 · Zbl 0934.94002 · doi:10.1006/acha.1998.0254
[7] DOI: 10.1137/1.9781611970104 · Zbl 0776.42018 · doi:10.1137/1.9781611970104
[8] DOI: 10.1109/18.119728 · Zbl 0743.42010 · doi:10.1109/18.119728
[9] Flandrin P., Traité des Nouvelles Technologies, série Traitement du Signal, in: Temps-Fréquence (1993)
[10] DOI: 10.1137/0515056 · Zbl 0578.42007 · doi:10.1137/0515056
[11] Harthong J., Etudes sur la mécanique quantique (1984) · Zbl 0589.35002
[12] DOI: 10.1006/acha.1996.0204 · Zbl 0864.94010 · doi:10.1006/acha.1996.0204
[13] DOI: 10.1109/TSP.2002.805489 · Zbl 1369.94168 · doi:10.1109/TSP.2002.805489
[14] DOI: 10.1109/TASSP.1978.1163047 · doi:10.1109/TASSP.1978.1163047
[15] Koopmans L. H., Probability and Mathematical Statistics 22, in: The Spectral Analysis of Time Series (1995)
[16] DOI: 10.1007/978-1-4684-9358-0 · doi:10.1007/978-1-4684-9358-0
[17] Mallat S., A Wavelet Tour of Signal Processing (1998) · Zbl 1125.94306
[18] DOI: 10.1142/S0219691303000037 · Zbl 1044.94514 · doi:10.1142/S0219691303000037
[19] Picinbono B., Annales des Télécommunications 38 pp 179–
[20] Tchamitchian Ph., Wavelets and Their Applications (1991)
[21] DOI: 10.1088/1742-6596/110/6/062025 · doi:10.1088/1742-6596/110/6/062025
[22] Van-Trees H., Detection, Estimation, and Modulation Theory. Part I (1968) · Zbl 0202.18002
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.