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SPTM-P2: Analysis and Design of Adaptive Filters

Session Type: Poster
Time: Tuesday, April 21, 14:30 - 16:30
Location: Poster Area E, TICC
Session Chair: Azzedine Zerguine, King Faud University of Petroleum and Minerals
 
  SPTM-P2.1: ON ROBUSTNESS OF COUPLED ADAPTIVE FILTERS
         Robert Dallinger; Vienna University of Technology
         Markus Rupp; Vienna University of Technology
 
  SPTM-P2.2: COMPARISON OF CONVEX COMBINATION AND AFFINE COMBINATION OF ADAPTIVE FILTERS
         Alper Tunga Erdogan; Koc University
         Suleyman Serdar Kozat; Koc University
         Andrew C. Singer; University of Illinois at Urbana-Champaign
 
  SPTM-P2.3: STEADY-STATE PERFORMANCE ANALYSIS FOR ADAPTIVE FILTERS WITH ERROR NONLINEARITIES
         Bin Lin; Dalian Maritime University
         Rongxi He; Dalian Maritime University
         Liming Song; Dalian Maritime University
         Baisuo Wang; Dalian Maritime University
 
  SPTM-P2.4: STEADY-STATE ANALYSIS OF THE NORMALIZED LEAST MEAN FOURTH ALGORITHM WITHOUT THE INDEPENDENCE AND SMALL STEP SIZE ASSUMPTIONS
         Muhammad Moinuddin; King Fahd University of Petroleum & Minerals
         Azzedine Zerguine; King Fahd University of Petroleum & Minerals
 
  SPTM-P2.5: A PERFORMANCE-WEIGHTED MIXTURE OF LMS FILTERS
         Suleyman Serdar Kozat; Koc University
         Andrew C. Singer; University of Illinois at Urbana-Champaign
 
  SPTM-P2.6: A VARIABLE STEP SIZE AND VARIABLE TAP LENGTH LMS ALGORITHM FOR IMPULSE RESPONSES WITH EXPONENTIAL POWER PROFILE
         Kun Shi; Georgia Institute of Technology
         Xiaoli Ma; Georgia Institute of Technology
         G. Tong Zhou; Georgia Institute of Technology
 
  SPTM-P2.7: STUDY OF THE QUATERNION LMS AND FOUR-CHANNEL LMS ALGORITHMS
         Clive Cheong Took; Imperial College London
         Danilo Mandic; Imperial College London
         Jacob Benesty; University of Quebec
 
  SPTM-P2.8: PERFORMANCE ANALYSIS OF RECURSIVE LEAST MODULI ALGORITHM FOR FAST CONVERGENT AND ROBUST ADAPTIVE FILTERS
         Shin'ichi Koike; Consultant
 
  SPTM-P2.9: GAIN ALLOCATION IN PROPORTIONATE-TYPE NLMS ALGORITHMS FOR FAST DECAY OF OUTPUT ERROR AT ALL TIMES
         Kevin Wagner; Naval Research Laboratory
         Milos Doroslovacki; The George Washington University
 
  SPTM-P2.10: PROPORTIONATE ADAPTIVE ALGORITHM FOR NONSPARSE SYSTEMS BASED ON KRYLOV SUBSPACE AND CONSTRAINED OPTIMIZATION
         Masahiro Yukawa; RIKEN
         Wolfgang Utschick; Munich University of Technology
 
  SPTM-P2.11: SPARSE LMS FOR SYSTEM IDENTIFICATION
         Yilun Chen; University of Michigan
         Yuantao Gu; Tsinghua University
         Alfred O. Hero III; University of Michigan
 
  SPTM-P2.12: MINIMUM-DISTURBANCE DESCRIPTION FOR THE DEVELOPMENT OF ADAPTATION ALGORITHMS AND A NEWLEAKAGE LEAST SQUARES ALGORITHM
         Fabiano T. Castoldi; COPPE/UFRJ
         Marcello L. R. de Campos; COPPE/UFRJ
 

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