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Relaxation of the SPR Condition with Application to the Convergence of Adaptive Recursive Algorithms (1998)  (Make Corrections)  (3 citations)
Carlos Mosquera Nartallo



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Abstract: Adaptive ltering plays a fundamental role in signal processing, in applications such as noise cancellation, adaptive equalization, echo cancellation, etc. Although physical considerations favor IIR lters over their FIR counterparts in the modeling of many dynamical systems, adaptive FIR lters are the most commonly used, due to their simplicity and robustness. When it comes to adaptive IIR lters, the unimodal surface whose minimum is the optimum solution to the adaptive problem is no longer... (Update)

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0.3:   On The Strengthened Robust Spr Problem For Discrete-Time.. - Carlos Mosquera And (1998)   (Correct)
0.3:   Characterization and Algebraic Solution to the Extreme-Point.. - Perez, Mosquera   (Correct)
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2:   Robust strict positive realness: characterization and construction (context) - Anderson, Dasgupta et al. - 1990

BibTeX entry:   (Update)

C. Mosquera. Relaxation of the SPR condition with applications to the convergence of adaptive recursive algorithms. PhD thesis, University of Vigo, Spain, 1998. http://citeseer.ist.psu.edu/mosqueranartallo98relaxation.html   More

@misc{ mosquera98relaxation,
  author = "C. Mosquera",
  title = "Relaxation of the SPR condition with applications to the convergence of
    adaptive recursive algorithms",
  text = "C. Mosquera. Relaxation of the SPR condition with applications to the convergence
    of adaptive recursive algorithms. PhD thesis, University of Vigo, Spain,
    1998.",
  year = "1998",
  url = "citeseer.ist.psu.edu/mosqueranartallo98relaxation.html" }
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