Home Call for Papers Paper Submission Exhibits Support Opportunities Dallas Information Social Events Technical Program Paper Search Plenary Talks Registration Housing Tutorials Special Sessions Show and Tell Workshops THEMES 2010 Registration Spoken Language Processing Grant Organizing Committee Technical Program CommitteeSPTM-P3: Adaptive Processing and Performance Analysis |
| Session Type: Poster |
| Time: Wednesday, March 17, 13:30 - 15:30 |
| Location: Poster Area B |
| Session Chair: Isao Yamada, Tokyo Institute of Technology, Japan |
| SPTM-P3.1: STEADY-STATE ANALYSIS OF THE SET-MEMBERSHIP AFFINE PROJECTION ALGORITHM |
| Markus Lima; Federal University of Rio de Janeiro |
| Paulo Diniz; Federal University of Rio de Janeiro |
| SPTM-P3.2: QUADRATIC MODIFIED FERMAT TRANSFORMS FOR FAST CONVOLUTION AND ADAPTIVE FILTERING |
| Chandrasekhar Radhakrishnan; Pennsylvania State University |
| Kenneth Jenkins; Pennsylvania State University |
| SPTM-P3.3: AN ADAPTIVE GREEDY ALGORITHM WITH APPLICATION TO SPARSE NARMA IDENTIFICATION |
| Gerasimos Mileounis; University of Athens |
| Behtash Babadi; Harvard University |
| Nicholas Kalouptsidis; University of Athens |
| Vahid Tarokh; Harvard University |
| SPTM-P3.4: MULTI-DOMAIN ADAPTIVE FILTERING BY FEASIBILITY SPLITTING |
| Masahiro Yukawa; RIKEN Brain Science Institute |
| Konstantinos Slavakis; University of Peloponnese |
| Isao Yamada; Tokyo Institute of Technology |
| SPTM-P3.5: MIMETIC WAVELET-PACKET TRANSFORM BASED ADAPTIVE ALGORITHM FOR SPARSE RESPONSE IDENTIFICATION |
| Odair A. Noskoski; Federal Institute for Technology Education Sul-Rio-Grandense |
| Jose C. M. Bermudez; Universidade Federal de Santa Catarina |
| SPTM-P3.6: ONLINE MAXIMUM-LIKELIHOOD LEARNING OF TIME-VARYING DYNAMICAL MODELS IN BLOCK-FREQUENCY-DOMAIN |
| Sarmad Malik; Ruhr-Universität Bochum |
| Gerald Enzner; Ruhr-Universität Bochum |
| SPTM-P3.7: A COMPARISON OF APPROXIMATE VITERBI TECHNIQUES AND PARTICLE FILTERING FOR DATA ESTIMATION IN DIGITAL COMMUNICATIONS |
| Steffen Barembruch; Télécom ParisTech |
| SPTM-P3.8: ALGORITHMS FOR ROBUST LINEAR REGRESSION BY EXPLOITING THE CONNECTION TO SPARSE SIGNAL RECOVERY |
| Yuzhe Jin; University of California, San Diego |
| Bhaskar Rao; University of California, San Diego |
| SPTM-P3.9: A PARTICLE FILTERING ALGORITHM FOR COOPERATIVE BLIND EQUALIZATION USING VB PARAMETRIC APPROXIMATIONS |
| Claudio Bordin; Universidade Federal do ABC |
| Marcelo Bruno; Instituto Tecnologico de Aeronautica |
| SPTM-P3.10: AN EFFICIENT PARTICLE FILTERING TECHNIQUE ON THE GRASSMANN MANIFOLD |
| Quentin Rentmeesters; Université catholique de Louvain |
| P.-A. Absil; Université catholique de Louvain |
| Paul Van Dooren; Université catholique de Louvain |
| Kyle Gallivan; Florida State University |
| Anuj Srivastava; Florida State University |
| SPTM-P3.11: A TRANSIENT ANALYSIS FOR THE CONVEX COMBINATION OF TWO ADAPTIVE FILTERS WITH TRANSFER OF COEFFICIENTS |
| Magno T. M. Silva; University of Sao Paulo |
| Vítor H. Nascimento; University of Sao Paulo |
| Jerónimo Arenas-García; Universidad Carlos III de Madrid |
| SPTM-P3.12: ROBUST REGRESSION USING SPARSE LEARNING FOR HIGH DIMENSIONAL PARAMETER ESTIMATION PROBLEMS |
| Kaushik Mitra; University of Maryland, College Park |
| Ashok Veeraraghavan; Mitsubishi Electric Research Laboratories |
| Rama Chellappa; University of Maryland, College Park |
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