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Enhancing Sound Quality in Bluetooth Audio Systems Using Kalman Filtering

Journal Article
2015-01-0226
ISSN: 1946-4614, e-ISSN: 1946-4622
DOI: https://doi.org/10.4271/2015-01-0226
Published April 14, 2015 by SAE International in United States
Enhancing Sound Quality in Bluetooth Audio Systems Using Kalman Filtering
Sector:
Citation: Ali, M., "Enhancing Sound Quality in Bluetooth Audio Systems Using Kalman Filtering," SAE Int. J. Passeng. Cars – Electron. Electr. Syst. 8(1):180-185, 2015, https://doi.org/10.4271/2015-01-0226.
Language: English

References

  1. Bluetooth SIG “Specifications of the Bluetooth Systems”, Core Version 4.0 30 June 2010 Https://www.bluetooth.org
  2. Nolte T. , Hansson H. , and Bello L. L. Wireless automotive communications Euromicro Conference on Real-Time Systems 35 38 2005
  3. Kroschel K. Methods for noise reduction applied to speech input systems CompEuro ′89, 'VLSI and Computer Peripherals. VLSI and Microelectronic Applications in Intelligent Peripherals and their Interconnection Networks', Proceedings 2/82 2/87 8 12 May 1989
  4. Yousheng Xia Fast multi-channel colored noise reduction algorithm using a novel statistical data fusion estimation Audio, Language and Image Processing (ICALIP), 2012 International Conference 986 990
  5. Mathe M. , Nandyala S.P. , and Kumar T.K. Speech enhancement using Kalman Filter for white, random and color noise IEEE Devices, Circuits and Systems (ICDCS), 2012 International Conference 15 16 March 195 198
  6. Benesty J. , Makino S. , and Chen J. Speech Enhancements Springer Berlin 2005
  7. Kalman R. E. A New Approach to Linear Filtering and Prediction Problems Research Institute for Advanced Study Baltimore, MD 1960
  8. Candy J. Bayesian Signal Processing Classical, Modern, and Particle Filtering Methods John Wiley & Sons, Inc 2009
  9. Ali M. N. Interactive Kalman Filtering for Differential and Continuous Phase Modulation Optimizations With Application in Bluetooth Communications Ph.D. Thesis Oakland University June 2012
  10. Makhoul J. Linear prediction: A tutorial review Proceeding of the IEEE 63 4 April 1975 561 580
  11. Labarre D. , Grivel E. , Berthoumieu Y. , Todini E. , and Najim M. Consistent Estimation of Autoregressive Parameters from Noisy Observation Based on Two Interacting Kalman Filters Signal Processing 86 10 2006 2863 2876
  12. Gal J. , Campeanu A. , and Nafornita J. Noncoherent Demodulation of Continuous Phase Modulated Signals using Extended Kalman Filtering Proceedings of the IEEE 12th International Conference on Optimization of Electrical and Electronic Equipment May 2010 724 727
  13. Gal J. , Campeanu A. , and Nafornita J. Kalman Noncoherent Detection of CPFSK Signals Proceedings of the 8th International Conference Communications June 2010 65 68

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