2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

SPTM-23: Bayesian Signal Processing

Session Type: Poster
Time: Friday, 11 June, 14:00 - 14:45
Location: Gather.Town
Session Chair: Marcelo Bruno, Instituto Tecnologico de Aeronautica
 
SPTM-23.1: COOPERATIVE PARAMETER TRACKING ON THE UNIT SPHERE USING DISTRIBUTED ADAPT-THEN-COMBINE PARTICLE FILTERS AND PARALLEL TRANSPORT
         Caio de Figueredo; Instituto Tecnológico de Aeronáutica
         Claudio Bordin; Universidade Federal do ABC
         Marcelo Bruno; Instituto Tecnológico de Aeronáutica
 
SPTM-23.2: BAYESIAN ESTIMATION OF A TAIL-INDEX WITH MARGINALIZED THRESHOLD
         Douglas Johnston; Farmingdale State College
         Petar M. Djurić; Stony Brook University
 
SPTM-23.3: BLOCK KALMAN FILTER: AN ASYMPTOTIC BLOCK PARTICLE FILTER IN THE LINEAR GAUSSIAN CASE
         Rui Min; University of Lille
         Christelle Garnier; IMT Lille Douai
         François Septier; University of Bretagne Sud
         John Klein; University of Lille
 
SPTM-23.4: PARTICLE GIBBS SAMPLING FOR REGIME-SWITCHING STATE-SPACE MODELS
         Yousef El-Laham; Stony Brook University
         Liu Yang; Stony Brook University
         Heather Lynch; Stony Brook University
         Petar Djuric; Stony Brook University
         Monica Bugallo; Stony Brook University
 
SPTM-23.5: ADAPTIVE IMPORTANCE SAMPLING VIA AUTO-REGRESSIVE GENERATIVE MODELS AND GAUSSIAN PROCESSES
         Hechuan Wang; Stony Brook University
         Monica Bugallo; Stony Brook University
         Petar Djuric; Stony Brook University
 
SPTM-23.6: VARIATIONAL PARAMETER LEARNING IN SEQUENTIAL STATE-SPACE MODEL VIA PARTICLE FILTERING
         Chenhao Li; University of Cambridge
         Simon Godsill; University of Cambridge