IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
SPTM-L2: Statistical Signal Processing
Wed, 25 May, 13:00 - 15:30 China Time (UTC +8)
Wed, 25 May, 05:00 - 07:30 UTC
Location: Peony Ballroom 4501AB, 4502-3
Session Co-Chairs: Tianyun Zhang, Cleveland State University and Jean-Philippe Ovarlez, ONERA & Centrale Supelec
Track: Signal Processing Theory and Methods

SPTM-L2.1: On the false alarm probability of the Normalized Matched Filter for off-grid target detection
Pierre Develter, Jonathan Bosse, Olivier Rabaste, Jean-Philippe Ovarlez, ONERA, France; Philippe Forster, Université Paris-Saclay, France

SPTM-L2.2: A TEST FOR CONDITIONAL CORRELATION BETWEEN RANDOM VECTORS BASED ON WEIGHTED U-STATISTICS
Marc Vilà, Jaume Riba, Technical University of Catalonia (UPC), Spain

SPTM-L2.3: GENERALIZED AUTOCORRELATION ANALYSIS FOR MULTI-TARGET DETECTION
Ye'Ela Shalit, Ran Weber, Asaf Abas, Shay Kreymer, Tamir Bendory, Tel Aviv University, Israel

SPTM-L2.4: POINT-MASS FILTER WITH DECOMPOSITION OF TRANSIENT DENSITY
Petr Tichavský, Czech Academy of Sciences, Czechia; Ondřej Straka, Jindřich Duník, University of West Bohemia, Czechia

SPTM-L2.5: CRAMER-RAO BOUND FOR THE TIME-VARYING POISSON
Xinhui Rong, Victor Solo, UNSW, Australia

SPTM-L2.6: OPTIMAL RESOURCE ALLOCATION AND BEAMFORMING FOR TWO-USER MISO WPCNs FOR A NON-LINEAR CIRCUIT-BASED EH MODEL
Nikita Shanin, Moritz Garkisch, Robert Schober, Laura Cottatellucci, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; Amelie Hagelauer, Fraunhofer EMFT Einrichtung für Mikrosysteme und Festkörper-Technologien; Technische Universität München, Germany

SPTM-L2.7: BAYESIAN POPT-MODEL-SELECTION ESTIMATION
Nadav Harel, Tirza Routtenberg, Ben Gurion University, Israel

SPTM-L2.8: RTSNET: DEEP LEARNING AIDED KALMAN SMOOTHING
Xiaoyong Ni, Guy Revach, Eidgenössische Technische Hochschule Zürich, Switzerland; Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Ruud J. G. van Sloun, Eindhoven University of Technology, Netherlands; Yonina C. Eldar, Weizmann Institute of Science, Israel

SPTM-L2.9: INCIPIENT FAULT SEVERITY ESTIMATION USING LOCAL MAHALANOBIS DISTANCE
Junjie Yang, Claude Delpha, Universite Paris Saclay, France