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Adaptive Minimum Entropy Beamforming Algorithms for Narrowband Signals

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Emerging Trends and Applications in Information Communication Technologies (IMTIC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 281))

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Abstract

Blind beamforming has been studied extensively in recent times. Array signal processing is an effective technique for signal extraction in communication systems. We employ minimum entropy deconvolution (MED) principle for source extraction. Results are shown which indicate good performance in comparison with conventional adaptive algorithms like the constant modulus algorithm and the multi-modulus algorithm.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan

    Anum Ali & Shafayat Abrar

Authors
  1. Anum Ali
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  2. Shafayat Abrar
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Editor information

Editors and Affiliations

  1. Department of Electronics and Telecommunication Engineering, Faculty of Electrical, Electronics & Computer Engineering, Mehran UET, Jamshoro, Pakistan

    Bhawani Shankar Chowdhry

  2. Department of Telecommunication Engineering, Mehran University of Engineering and Technology, 76062, Jamshoro, Sindh, Pakistan

    Faisal Karim Shaikh

  3. Department of Software Engineering & Media Technology, Aalborg University, Niels Bohrs Vej 8, 6700, Esbjerg, Denmark

    Dil Muhammad Akbar Hussain

  4. Department of Electrical Engineering, Mehran University of Engineering and Technology, 76062, Jamshoro, Sindh, Pakistan

    Muhammad Aslam Uqaili

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© 2012 Springer-Verlag Berlin Heidelberg

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Ali, A., Abrar, S. (2012). Adaptive Minimum Entropy Beamforming Algorithms for Narrowband Signals. In: Chowdhry, B.S., Shaikh, F.K., Hussain, D.M.A., Uqaili, M.A. (eds) Emerging Trends and Applications in Information Communication Technologies. IMTIC 2012. Communications in Computer and Information Science, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28962-0_7

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  • DOI: https://doi.org/10.1007/978-3-642-28962-0_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28961-3

  • Online ISBN: 978-3-642-28962-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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