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Mohammed mujahid ulla faiz (2 risultati)

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  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller, 2010

    363926262X / 9783639262629

    • Brossura
    • Print on Demand

    Da: moluna, Greven, Germaniamoluna

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 39,24

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Faiz Mohammed Mujahid UllaMohammed Mujahid Ulla Faiz received his M.S. degree in electrical engineering from King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 2010. Currently, he is a Lecturer in th.…

  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller, 2010

    363926262X / 9783639262629

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 54,70

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, a novel algorithm, called the signed regressor least mean fourth (SRLMF) adaptive algorithm, that reduces the computational cost and complexity while maintaining good performance is presented. Expressions are derived for the steady-state excess-mean-square error (EMSE) of the SRLMF algorithm in a stationary environment. Also, expressions are obtained for the tracking EMSE of the SRLMF algorithm in a non-stationary environment. An optimum value of the step-size is also derived. Moreover, the weighted variance relation has been extended in order to derive expressions for the mean-square error (MSE) and the mean-square deviation (MSD) of the proposed algorithm during the transient phase. Computer simulations are carried out to corroborate the theoretical findings. It is shown that there is a good match between the theoretical and simulated results. It is also shown that the SRLMF algorithm has no performance degradation when compared with the least mean fourth (LMF) algorithm. The results in this study emphasize the usefulness of this algorithm in applications requiring reduced implementation costs for which the LMF algorithm is too complex. …