Now showing items 1-3 of 3

    • Designing an optimized linear adaptive filtering algorithm 

      Trivedi, Vishwas (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      For any system, sparse or dispersive, z2 proportionate algorithm of Proportionate Normalized Least Mean Square (PtNLMS) class, gives the best convergence rate compare to any other weiner filter based iterative algorithms. ...
    • FPGA implementation of an improved proportionate normalized least mean square (IPNLMS) algorithm 

      Dubey, Deepankar (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      In digital signal processing, estimation of an unknown signal is an important task,and in this context, different type of adaptive filters has been proposed to identifythese systems for on-line applications. Adaptive filters ...
    • FPGA Implementation of an Improved Proportionate Normalized Least Mean Square Algorithm 

      Kadiya, Bhaumik (Dhirubhai Ambani Institute of Information and Communication Technology, 2017)
      "Adaptive algorithms find various applications in signal processing to estimate unknown signal statistics. Using the error signal as feedback, the filter’s efficients are updated and equals the unknown system coefficients. ...