Agenda

Graph signal processing: Analyzing and filtering data over networks

Elvin Isufi

Nowadays, we are surrounded by massive data that reside on irregular structures. Examples include data generated by biological, financial, and sensor networks. Graphs indeed offer the ability to model the interactions between them. Current efforts in signal processing are being focused on providing analysis and processing tools for these data such that the underlying structure is taken into account. These include the development of a Fourier transform and filtering operations for graph data. The field that gathers these tools is called graph signal processing (GSP).

     This talk will be focused on the fundamentals of GSP spanning concepts like the signal variation over a graph, the graph Fourier transform, the graph filter, and its distributed implementation. The talk will be concluded with some illustrative examples and future work directions.

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Agenda

CAS MSc Midterm Presentations

Xin An (1st), Sherine Brahma (1st), Bart Hettema (1st), Kevin Mark van der (1st), Manolis Papadakis (mid)

Signal Processing Seminar

Huijuan Wang

Network Data Science

MS3 seminar

Alfonso Farina

Radar Adaptivity: Antenna Based Signal Processing

History and future of Space-Time Adaptive Processing and Over The Horizon radar

MSc SS Thesis Presentation

Ming DAI

Localization using Time-of-Arrival Estimation in the LoRa Network

How can the range resolution of LoRa tag localization be improved?

Micro electronics colloquium

Nan Sun, Muhammed Bolatkale

High performance data converters; Rethink analog IC design

Two presentations on analog IC design and ADCs

CAS MSc Midterm Presentations

Bart Vos de (mid), Pranav Prakash (mid), Pavel Rapoport (mid)

CAS MSc Midterm Presentations

Bram Visser (mid), Karishma Kumar (mid), Ninad Joshi (mid)

Signal Processing Seminar

Matthew Morency

sensor networks, rank-constrained optimization, algebraic techniques

CAS MSc Midterm Presentations

Bishwadeep Das (1st), Yiting Lu (mid), Yajie Tang (mid)

CAS MSc Midterm Presentations

Bas van Otterloo

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