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Network Information Theory Group

: [1]; © privat

Offered lectures for Master Program in SS 2020 - The lectures will take place online.

Theory and Algorithms of Machine Learning for Communication, Prof. Dr.-Ing. Slawomir Stanczak

20th April 2020 - 13th July 2020
every Monday from 14:15-15:45pm
online with the web conference service Zoom
Enrollment in ISIS for 'TAML SS2020'

Modern Signal Processing for Communications, Dr. Renato L.G. Cavalcante

22nd April 2020 - 15th July 2020
every Wednesday from 08:15-09:45am
online with the web conference service Big Blue Button
Enrollment in ISIS for 'MSPC SS2020'

Selected Topics in Wireless Communications and Networking, Dr. Zoran Utkovski

22nd April 2020 - 15th July 2020
every Wednesday from 16:15-17:45pm
online with the web conference service Big Blue Button
Enrollment in ISIS for 'STWCN SS2020'

Information regarding the modules can be found in MOSES or directly here: Modern Wireless Communications [2], Mathematics of Machine Learning [3], Modern Signal Processing for Communications [4]

News

The paper 'A Study on Feature Processing Schemes for Deep-Learning-Based Human Activity Classification Using Frequency-Modulated Continuous-Wave Radar' has been accepted by IET Radar, Sonar & Navigation

Prof. Dr.-Ing. Slawomir Stanczak has been nominated as editor for the newly founded IEEE JSAC Machine Learning in Communications and Networks

Online Demo 'Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform' by Matthias Mehlhose at ICASSP2020 //06. May 2020

It's Official - We are collaborating with NVIDIA and bringing AI to telecom!

Invited talk 'AI for Industrial Communication: Delusion or Salvation' by Prof. Dr.-Ing. Slawomir Stanczak at the VDE TEC SUMMIT 2020 // Feb. 26-27 2020

Upcoming Events where we will participate:

IEEE Statistical Signal Processing Workshop 2020, July 12-15 // Rio de Janeiro, Brazil [5]

IEEE Global Communications Conference 2020, December 7-11 // Taipei, Taiwan [6]

This site uses Matomo [7] for anonymized web analytics. More information and opt-out options under data protection.

Postal address

Technische Universität Berlin
Network and Information Theory NetIT
Fakultät IV
Sekr. HFT 6-1, room 412
Einsteinufer 25
10587 Berlin

Head of Chair

Prof. Dr.-Ing. Slawomir Stanczak
HFT 400a
Einsteinufer 25
10587 Berlin
Tel.: +49(0)30 314-28465
Fax: +49(0)30 314-28320
E-Mail-Anfrage [8]
Webseite [9]

Secretariat

Ann-Kathrin Buss / Kerstin Reinhardt
Sekr. HFT 6-1
Einsteinufer 25
10587 Berlin
Tel.:+ 4930 31002 609 / -702
E-Mail-Anfrage [10]

------ Links: ------

[1] http://www.netit.tu-berlin.de/fileadmin/fg314/netit
_fachgebiet.jpg

[2] https://moseskonto.tu-berlin.de/moses/modultransfer
system/bolognamodule/beschreibung/anzeigen.html?number=
40828&version=3&sprache=2

[3] https://moseskonto.tu-berlin.de/moses/modultransfer
system/bolognamodule/beschreibung/anzeigen.html?number=
40894&version=2&sprache=2

[4] https://moseskonto.tu-berlin.de/moses/modultransfer
system/bolognamodule/beschreibung/anzeigen.html?number=
40829&version=2&sprache=2

[5] http://ssp2020.cetuc.puc-rio.br/

[6] https://globecom2020.ieee-globecom.org/

[7] https://matomo.org/

[8] https://www.tu-berlin.de/allgemeine_seiten/e_mail_a
nfrage/parameter/de/maxhilfe/id/160309/?no_cache=1&
ask_mail=XwdoBAAL0RofLD8XWoGP54tLTU5hTmIo%2F4%2Bf70K0pA
%2B%2FZ2toHwoXww%3D%3D&ask_name=Prof.%20Dr.-Ing.%20
Slawomir%20Stanczak

[9] https://www.netit.tu-berlin.de/menue/team/prof_dr_i
ng_slawomir_stanczak/parameter/de/maxhilfe/

[10] https://www.tu-berlin.de/allgemeine_seiten/e_mail_
anfrage/parameter/de/maxhilfe/id/160309/?no_cache=1&
;ask_mail=XwdoBAAMLKe%2Bn6pip3zWi8JgMHnhW56nBkRT7sJ7Q7V
enY2tfKECDQ%3D%3D&ask_name=Ann-Kathrin%20Buss%20%2F
%20Kerstin%20Reinhardt