2021 IEEE 14th International Conference on ASIC

Oct. 26-29, 2021, Kunming, China

Highly-Programmable AI-Managed Sigma-Delta Converters – Application to Cognitive Radio




Highly-Programmable AI-Managed Sigma-Delta Converters – Application to Cognitive Radio

Prof. José M. de la Rosa,
Prof. Luis Camuñas-Mesa
Institute of Microelectronics of Seville,
IMSE-CNM (CSIC/University of Seville), Spain

The so-called digital transformation requires the development of hybrid software/hardware cyberphysical platforms, new computation paradigms, communication protocols, as well as smart analog/digital interfaces with a high degree of programmability and reconfigurability. This pervasive tendency towards a digital-driven world demands for new kinds of analog-to-digital converters (ADCs) that should be placed as close as possible to the point where the information is either received or transmitted. An early digitization also allows to implement most of the signal processing in the digital domain, thus being easier to program electronic devices via software. Among other benefits, software-defined electronics will make it easier to merge with Artificial Intelligence (AI), so that their specifications can be set in an optimum and autonomous way, according to the environment conditions, battery status and energy consumption. Software-Defined Radio (SDR) and Cognitive Radio (CR) are some good examples of applications where embedding AI in IoT devices and new generations (5G and Beyond) of mobile telecom systems may result in a more efficient use of the electromagnetic spectrum.

In spite of their mentioned benefits, a large number of challenges must be faced for an efficient implementation of such AI-managed systems, where the ADC will play a key role. This tutorial overviews cutting-edge circuits and systems techniques for the efficient implementation of highly programmable ADCs – going from system-level concepts and fundamentals, AI-controlled architectures and algorithms, to circuit-level implementation. Special emphasis is put on the use of M-based ADCs, as one of the best candidates to digitize signals in CR hand-held devices. Some case studies – based on the use of reconfigurable M RF-to-digital digitizers – will be shown to illustrate the circuits and systems techniques presented in this tutorial.


Prof. José M. de la Rosa

José M. de la Rosa (Fellow, IEEE) received the M.S. degree in physics and the Ph.D. degree in microelectronics from the University of Seville, Spain, in 1993 and 2000, respectively. Since 1993, he has been working with the Institute of Microelectronics of Seville (IMSE), which is in turn part of the Spanish Microelectronics Center (CNM), Spanish National Research Council (CSIC). He is currently the Vice Director of IMSE. He is also a Full Professor with the Department of Electronics and Electromagnetism, University of Seville. His main research interests are in the field of analog and mixed-signal integrated circuits, especially high-performance data converters. In these topics, he has participated in a number of National and European research and industrial projects, and has coauthored some 250 international peer-reviewed publications, including journal and conference articles, and 6 books, the latter being Sigma-Delta Converters: Practical Design Guide (Wiley-IEEE Press, 2nd edition, 2018).

Dr. de la Rosa has been a member of the Executive Committee of the IEEE Spain Section from 2014 to 2015 and from 2016 to 2017, where he served as a Membership Development Officer from 2016 to 2017. He also served as the Chair of the Spain Chapter of the IEEE Circuits and Systems Society from 2016 to 2017. He has being involved in the organizing committees of diverse IEEE conferences, including ISCAS, MWSCAS, ICECS, LAS- CAS, VLSI-SoC, and DATE, serving as a TPC Co-Chair of MWSCAS12, ICECS12, LASCAS15, and ISICAS18-19. He is the Editor-in-Chief of the IEEE Transactions on Circuits and Systems—II: Express Briefs (TCAS-II), and has served as the Deputy Editor-in-Chief of IEEE TCAS-II from 2015 to 2019. He served as an Associate Editor for the IEEE Transactions On Circuits and Systems–I: Regular Papers (TCAS-I), where he received the 2012–2013 Best Associate Editor Award and served as a Guest Editor for the Special Issue on the Custom Integrated Circuits Conference (CICC) in 2013 and 2014. He served also as a Guest Editor of the Special Issue of the IEEE Journal On Emerging and Selected Topics in Circuits and Systems (JETCAS) on Next-Generation Delta-Sigma Converters. He served as Distinguished Lecturer of the IEEE Circuits and Systems Society from 2017 to 2018 and was elevated to the grade of IEEE Fellow in January 2020.


Prof. Luis Camuñas-Mesa

Luis Camuñas-Mesa received the B.S. degree in electrical engineering, the M.S. degree in microelectronics, and the Ph.D. degree in event-based vision systems from the University of Seville, Spain, in 2003, 2005, and 2010, respectively. From 2004 to 2010, he was with the Institute of Microelectronics of Seville (IMSE-CNM), Spanish Research Council (CSIC), where he was involved in the VLSI implementation of event-driven AER vision processing systems. In 2006, he was a Visiting Student with the Institute of Neuroinformatics, Zürich, Switzerland. From 2010 to 2013, he was an Associate Post-Doctoral Researcher with the Centre for Systems Neuroscience, University of Leicester, Leicester, U.K., where he was involved in olfactory sensing and processing, spike detection and sorting, and simulation of extracellular recordings. Since 2013, he has been with IMSE-CNM, where he received the “Juan de la Cierva” Post-Doctoral Fellowship. He is currently a Research Associate with the Department of Electronics and Electromagnetism in the University of Seville. His current research interests include bioinspired circuits and systems, real-time event-based vision sensing and processing chips, neuromorphic stereo vision, and nanoscale memristor-based AER circuits for STDP learning. Dr. Camuñas-Mesa is currently an Associate Editor for the IEEE Transactions on Circuits and Systems-II.