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  • Volume 2017

    Adaptive Inverse Filter Design for Linear Minimum Phase Systems
    (International Journal of Engineering Works)

    Vol. 4, Issue 1, PP. 1-4, January 2017
    DOI
    Keywords: Adaptive Tracking, Least Mean Square (LMS), Linear Minimum Phase System

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    Abstract

    Adaptive Inverse Filter (AIF) is the standard, tracking,control technique or method which has provided an extensive range of uses and applications for the last several years. This research paper deals with the adaptive inverse Filter(AIF) structure which is being utilized for the stabilized or stable linear systems. Also closed loop features of the AIF are similar as that of the low pass adaptive filtering. Hence, it reduces the consequences of disturbance and the noise. The simulation outcomes for the Linear Minimum phase system or plants are presented to validate the worth of the proposed scheme. AIF has displayed enhanced results in terms of the tracking output.

    Author

    1. H. Ahmad: Electrical Engineering UET, Peshawar. Email: haseebkhan@uetpeshawar.edu.pk
    2. W. Shah: Electrical Engineering UET, Peshawar. Email: waqar.shah@uetpeshawar.edu.pk
     

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    Cite

    H. Ahmad, W. Shah, "Adaptive Inverse Filter Design for Linear Minimum Phase Systems" International Journal of Engineering Works, Vol. 4, Issue 1, PP. 1-4, January 2017. 

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