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Effective Ad Recognition Using Schur-type Signal Parametrization

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Computer Recognition Systems 2

Part of the book series: Advances in Soft Computing ((AINSC,volume 45))

Abstract

In this article an efficient audio ad recognition procedure is presented. Proposed algorithm uses the multidimensional orthogonal representation of the audio signal to parametrize the ad. Simulation results are presented for different recording data conditions.

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References

  1. P. Biernacki, J. Zarzycki, Multidimensional Nonlinear Noise-Cancelling Filters of the Volterra-Wiener Class, Proc. 2-Nd Int. Workshop on Multidimensional (nD) Systems (NDS-2000)., ed. Inst. of Control and Comp. Eng. TU of Zielona Gora Press, Czocha Castle, pp. 255–261, 2000

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© 2007 Springer-Verlag Berlin Heidelberg

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Biernacki, P. (2007). Effective Ad Recognition Using Schur-type Signal Parametrization. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_42

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  • DOI: https://doi.org/10.1007/978-3-540-75175-5_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75174-8

  • Online ISBN: 978-3-540-75175-5

  • eBook Packages: EngineeringEngineering (R0)

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