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Bits Magazine ITSOC

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Fall 2022 — Issue 2, Volume 2

This is the second regular issue of Â鶹´«Ã½Ó³»­ BITS featuring articles spanning from Katalin Marton’s main contributions, to data structure compression, to communications and sensing and to the role of deep learning in wireless communications.

Column article(s)

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Traditional communication system design has always been based on the paradigm of first establishing a mathematical model of the communication channel, then designing and optimizing the system according to the model. The advent of modern machine learning techniques, specifically deep neural networks, has opened up opportunities for data-driven system design a...

Mar 13, 2023
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Foad Sohrabi
Nokia Bell Labs, Murray Hill, NJ, USA
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Tao Jiang
University of Toronto, Toronto, ON, Canada

Orthogonal time frequency space (OTFS) is a framework for communication and active sensing that processes signals in the delay-Doppler (DD) domain. This article explores three key features of the OTFS framework, and explains their value to applications. The first feature is a compact and sparse DD domain parameterization of the wireless channel, where the pa...

Mar 13, 2023
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Saif Khan Mohammed
Indian Institute of Technology Delhi, New Delhi, India
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Ronny Hadani
University of Texas at Austin, Austin, TX, USA
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Ananthanarayanan Chockalingam
Indian Institute of Science, Bangalore, India
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A data string can be represented with the help of context-free grammar such that the string is the unique string belonging to the language of the grammar. One can then losslessly compress the string indirectly by encoding the grammar into a unique binary codeword. This approach to data compression, called grammar-based data compression, can also be employed ...

Mar 13, 2023
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John C. Kieffer
University of Minnesota, Minneapolis, MN, USA
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En-hui Yang
University of Waterloo, Waterloo, ON, Canada

This article highlights some of Katalin Marton’s main contributions to rate distortion theory, probability theory, and multiuser information theory and their lasting impact on the work of many other researchers.