Geert Leus (Delft University of Technology)
Lecture Date: April 2, 2019 Chapter: Finland Chapter Chair: Konstantinos Drossos Topic: Graph Signal Processing: Distributed Graph Filters
Read morePast SPS Conferences and Events
This page contains past SPS Conferences & Workshop starting from 2011. Original conference or workshop websites have been archived and stored whenever possible. Events can include virtual events such as webinars, lectures, seasonal schools and more.
Marco Lops (University of Cassino)
Lecture Date: April 2, 2019 Chapter: Republic of Macedonia Joint Chapter Chair: Konstantinos Drossos Topic: Radar and Communication Systems in…
Read more(DCC 2019) 2019 Data Compression Conference
March 26-29, 2019 Location: Snowbird, Utah, USA
Read moreTulay Adali (University of Maryland Baltimore County, USA)
Lecture Date: March 8, 2019 Chapter: San Diego Chapter Chair: Delbert Fugal Topic: Data Fusion Through Matrix and Tensor Factorizations: On Current…
Read moreTao Zhang (Futurewei Technologies, USA)
Lecture Date: February 28, 2019 Chapter: Hong Kong Chapter Chair: Yik-Chung Wu Topic: Tackling the Cocktail Party Problem for Hearing Devices
Read moreWing-Kin (Ken) Ma (The Chinese University of Hong Kong)
Lecture Date: February 27, 2019 Chapter: Guangzhou Chapter Chair: Yuanqing Li Topic: Hyperspectral Unmixing: Insights and Beyond
Read moreGeert Leus (Delft University of Technology)
Lecture Date: February 22, 2019 Chapter: Chicago Chapter Chair: Rashid Ansari Topic: Graph Signal Processing: Distributed Graph Filtering
Read moreVivek Goyal (Boston University)
Lecture Date: February 19, 2019 Chapter: Princeton/Central Jersey Chapter Chair: Donald G. 'Jerry' Bellott Topic: Computational Imaging with…
Read moreGeert Leus (Delft University of Technology)
Lecture Date: February 19, 2019 Chapter: Mexico Chapter Chair: Juan Alvarez Padilla Topic: Graph Signal Processing: Distributed Graph Filtering
Read moreGeert Leus (Delft University of Technology)
Lecture Date: February 18, 2019 Chapter: Mexico Chapter Chair: Juan Alvarez Padilla Topic: Statistical Inference through Sparse Sensing
Read more
