Abstract
This paper proposes an adjusted-Q digital graphic equalizer employing the opposite filters. A method for designing the proposed equalizer is also presented. In the proposed adjusted–Q equalizer, we adjust the Q-factor of the equalizer filter depending on the gain, yielding an improved equalizer performance. Also, by increasing the Q-factor of the opposite filters gracefully with increasing gain, the inter-band interference can be reduced effectively in all frequency range in consideration. We shall show that the proposed equalizer can reproduce the user’s gain setting faithfully.
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References
Azizi, S.A.: A New Concept of Interference Compensation for Parametric and Graphic Equalizer Banks. 111th AES Convention, 5482 (2001)
Bohn, D.: Constant-Q Graphic Equalizers. J. Audio Eng. Soc. 34, 611–626 (1986)
Lee, Y.H., Kim, R.C.: A Variable-Q Digital Graphic Equalizer. Journal of Korea Broadcast Engineering 8, 3–10 (2003)
STMicroelectronics Group of Companies: Five Bands Digital Controlled Graphic Equalizer. Data Sheet (1999)
ISO/IEC IS 21000-7: Information Technology-Multimedia Framework (MPEG-21) – Part 9: Digital Item Adaptation (2004)
Oppenheim, A.V., Schafer, R.W.: Discrete-Time Signal Processing. Prentice-Hall, Englewood Cliffs (1998)
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© 2005 Springer-Verlag Berlin Heidelberg
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Lee, Y., Kim, R., Cho, G., Choi, S.J. (2005). An Adjusted-Q Digital Graphic Equalizer Employing Opposite Filters. In: Ho, YS., Kim, HJ. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11582267_85
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DOI: https://doi.org/10.1007/11582267_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30040-3
Online ISBN: 978-3-540-32131-6
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