Lecture 34: Multiple Input Multiple Output (MIMO) Systems

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Want to learn PYTHON, ML, Deep Learning, 5G Technologies? Check out 
https://www.iitk.ac.in/mwn/ML/index.html
https://www.iitk.ac.in/mwn/IITK5G/

IIT Kanpur Advanced Career School on PYTHON-Based Data Science, Machine Learning and Deep Learning
22nd January to 25th February 2022
https://www.iitk.ac.in/mwn/ML/index.html

This school, spanning over 5 weeks, is an intensive program for scholars, students, faculty members, industry professionals, and R&D staff aspiring to get an in-depth exposure and learn hands-on implementation of the cutting edge algorithms and software for Data Science (DS), Machine Learning (ML) and Deep Learning (ML) toward projects, research and placements to further their career. The school will include extensive coverage of PYTHON programming, and numerous important packages such as NUMPY, LINALG, MATPLOTLIB, PANDAS, SCIKIT-LEARN, SEABORN, TENSORFLOW, KERAS.

IIT Kanpur PYTHON and MATLAB/OCTAVE-Based Extensive Training School in 5G Wireless Technologies
12th March to 15th April 2022
https://www.iitk.ac.in/mwn/IITK5G/

This is a unique cutting edge project-based training school that will feature exhaustive lecture modules and several PYTHON/ MATLAB projects/ case-studies on the latest MIMO, Massive MIMO, mmWave MIMO, NOMA, Cooperative, Cognitive Radio, OFDM, MIMO-OFDM, and FBMC technologies for 5G. Participants will be able to gain in-depth knowledge of PYTHON/ MATLAB programming and practical hands-on experience of working on state-of-the-art 5G projects. Packages covered include NUMPY, LINALG, MATPLOTLIB.

How do these programs benefit the participant?
UG/ PG students: Learn the latest programming techniques in PYTHON and various packages such as NUMPY, LINALG, MATPLOTLIB, PANDAS, SCIKIT-LEARN, SEABORN, TENSORFLOW, KERAS together with practical DS/ ML/ DL/5G knowledge for projects/ thesis and also to gain an unbeatable edge in placements!

Ph.D. Scholars/ Faculty members: Use PYTHON, and various packages such as NUMPY, LINALG, MATPLOTLIB, PANDAS, SCIKIT-LEARN, SEABORN, TENSORFLOW, KERAS for research and also to establish virtual labs or for project guidance in DS/ ML/ DL/5G Technologies with real world datasets!

Industry Professionals: Take your skills to the next level by learning PYTHON, and various packages such as NUMPY, LINALG, MATPLOTLIB, PANDAS, SCIKITLEARN, SEABORN, TENSORFLOW, KERAS, together with principles of Module Design and Analysis using Practical Data Sets for DS/ ML/ DL/5G Technologies!

Learn PYTHON / MATLAB Programming to master the latest DS/ML/DL and 4G/ 5G Technologies!

The schools follow a well-tested Theory + Project-based learning approach for 360° coverage of ML and 4G/5G Systems!

Prof. Aditya K. Jagannatham (http://home.iitk.ac.in/~adityaj/) is a Professor in the Electrical Engineering department at IIT Kanpur, where he holds the Arun Kumar Chair Professorship and is a well-known expert and trainer on 5G technologies. He received his Bachelor's degree from the Indian Institute of Technology, Bombay, and M.S. and Ph.D. degrees from the University of California, San Diego, U.S.A. From April '07 to May '09 he was employed as a senior wireless systems engineer at Qualcomm, San Diego, California, where he was a part of the Qualcomm CDMA technologies (QCT) division. His research interests are in the area of next-generation wireless networks, with a special emphasis on various 5G technologies such as massive MIMO, mmWave MIMO, FBMC, NOMA, Full Duplex, and others. His work has been published extensively in leading international IEEE journals and conferences and has been recognized with several awards including the CAL(IT)2 fellowship at the University of California San Diego, Upendra Patel Achievement Award at Qualcomm, P.K. Kelkar Young Faculty Research Fellowship, Qualcomm Innovation Fellowship (QInF), Arun Kumar Chair and the IITK Excellence in Teaching Award.

YouTube url:	https://www.youtube.com/watch?v=g84f4mP0u30&list=PL30blqFldQN6N0PmEPr9vFUxOY0W0omg8&index=35
Created:	30. 4. 2022 14:25:21

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Lecture 34: Multiple Input Multiple Output (MIMO) Systems