Blar i UiS Brage på forfatter "Husøy, John Håkon"

Viser treff 1-5 av 5

    • Adaptive Digitale Filtre 

      Raghe, Mohammed Hassan; Hassan, Ahmed Abdullahi (Bachelor thesis, 2022)
      I adaptiv filtrering er LMS-algoritmen den enkleste, og mest brukte algo- ritmen. Fordi den er enkel har den en del svakheter. Et bedre filter vil da være NSAF-algoritmen som krever mye beregningskraft, men har ...

    • Adaptive digitale filtre 

      Hassan, Ahmed Abdullahi; Raghe, Mohammed Hassan (Bachelor thesis, 2022)
      I adaptiv filtrering er LMS-algoritmen den enkleste, og mest brukte algoritmen. Fordi den er enkel har den en del svakheter. Et bedre filter vil da være NSAF-algoritmen som krever mye beregningskraft, men har god ...

    • Partial search vector selection for sparse signal representation 

      Skretting, Karl; Husøy, John Håkon (Conference object, 2008)
      In this paper a new algorithm for vector selection in signal representation problems is proposed, we call it space is searched. Partial Search (PS). The vector selection problem is described, and one group of algorithms ...

    • A Simplified Normalized Subband Adaptive Filter (NSAF) with NLMS-like complexity 

      Husøy, John Håkon (Chapter, 2022)
      The Normalized Subband Adaptive Filter (NSAF) is a popular algorithm exhibiting moderate computational complexity and enhanced convergence speed relative to the ubiquitous Normalized Least Mean Square (NLMS) algorithm. ...

    • Texture classification using sparse frame based representations 

      Skretting, Karl; Husøy, John Håkon (Conference object, 2008)
      In this paper a new method for texture classification, denoted Frame Texture Classification Method (FTCM), is presented. The main idea is that a frame trained to make a sparse representation of a certain class of signals ...