Abstract
Time-frequency filtering has been widely used in various applications. In this paper, the time-frequency filtering is applied to the LPP-Hough transform (LHT) which is a method for chirp signal detection. Chirp signals corrupted by heavy Gaussian noises and impulsive noises are considered in the simulations. It shows that the time-frequency filtering can help to greatly minimize the computation complexity of the LHT for chirp signal detection without deteriorating the detection performance.
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, X., Bi, G. (2011). Time-Frequency Filtering and Its Application in Chirp Signal Detection. In: Wu, Y. (eds) Computing and Intelligent Systems. ICCIC 2011. Communications in Computer and Information Science, vol 234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24091-1_31
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DOI: https://doi.org/10.1007/978-3-642-24091-1_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24090-4
Online ISBN: 978-3-642-24091-1
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