2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
SPTM-23: Bayesian Signal Processing |
| Session Type: Poster |
| Time: Friday, 11 June, 14:00 - 14:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| 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 |