Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    View Item 
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Theses (MU)
    • 2007 Theses (MU)
    • 2007 MU theses - Access restricted to MU
    • View Item
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Theses (MU)
    • 2007 Theses (MU)
    • 2007 MU theses - Access restricted to MU
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CollectionDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    Improving performance for adaptive filtering with voice applications

    Oddiraju, Swetha, 1981-
    View/Open
    [PDF] public.pdf (1.775Kb)
    [PDF] short.pdf (9.661Kb)
    [PDF] research.pdf (929.0Kb)
    Date
    2007
    Format
    Thesis
    Metadata
    [+] Show full item record
    Abstract
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Adaptive filtering is a common solution to many signal processing applications in which the environments are time varying. Its performance is limited by the misadjustment. A method to reduce the misadjustment when the additive noise in the desired signal is correlated is investigated in this work. The proposed method consists of two adaptive components: a modeling filter and a noise whitening filter. The proposed method performs better than the conventional LMS and RLS algorithms both in convergence speed and misadjustment factor. The performance of the adaptive filter when updated using LMS is observed. The improvement factor is proportional to the ratio of the noise power to white innovation power in the desired signal. The reduction in gradient noise allows larger step size, thus increasing the overall performance of the system. Both theoretical and simulation results proved that the proposed method gives a smaller misadjustment and better tracking capability than existing methods.
    URI
    https://hdl.handle.net/10355/6271
    https://doi.org/10.32469/10355/6271
    Degree
    M.S.
    Thesis Department
    Electrical and computer engineering (MU)
    Rights
    Access is limited to the campus of the University of Missouri--Columbia.
    Collections
    • 2007 MU theses - Access restricted to MU
    • Electrical Engineering and Computer Science electronic theses and dissertations (MU)

    Related items

    Showing items related by title, author, creator and subject.

    • Lowpass Filtering of Rate-Distortion Functions for Quality Smoothing in Real-Time Video Communication 

      He, Zhihai, 1973-; Zeng, Wenjun, 1967-; Chen, Chang Wen, 1959- (IEEE, 2005)
      In variable-bit-rate (VBR) video coding, the video is pre-processed to collect sequence-level statistics, which are used for global bit allocation in the actual encoding stage to obtain a smoothed video presentation ...
    • Aquifers and soil filter effect (1991) 

      Buchholz, Daryl; DeFelice, Karen; Wollenhaupt, Nyle (University of Missouri Extension, 1991)
    • Vegetative filters for dairy waste (1994) 

      Fulhage, Charles; Pfost, Donald (University of Missouri Extension, 1994)

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems