
Multidimensional Signal Processing
- 1st Edition, Volume 54 - February 1, 2026
- Latest edition
- Editors: Arni S.R. Srinivasa Rao, Arni S.R. Srinivasa Rao, Kumar Vijay Mishra, Gonzalo R. Arce
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 4 1 4 6 5 - 7
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 1 4 6 6 - 4
Multidimensional Signal Processing volume of the “Handbook of Statistics” series isdedicated to presenting the latest developments and methodologies in multidimensiona… Read more
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dedicated to presenting the latest developments and methodologies in multidimensional signal
processing. The book aims to provide a comprehensive overview of the theories, models, and
methods that form the foundation of this field. Our goal is to cater to a broad audience of signal-
processing practitioners. The chapters within this volume are meticulously curated to offer
detailed, educational content rather than conventional journal-style articles. Contributors to this
volume are leading experts in the field, ensuring high-profile content that combines theoretical
rigor with practical insights. Through this comprehensive compilation, we aim to advance the
knowledge and application of multidimensional signal processing, contributing significantly to
the broader fields of statistics and data science.
- Easy to understand concepts
- Materials provided in an implementable way
- Written by experts in the field
1. Robust Parameter Estimation of Two Dimensional Chirp Model
Debassis Kundu
2. Computability Theory for Multidimensional Signal Processing
Holger Boche, Volker Pohl and H. VIncent Poor
3. Tensor signal processing
David Hong
4. Spectral compressed sensing by structured matrix optimization methods
Jian-Feng Cai, Xunmeng Wu, Zai Yang and Juntao You
5. Space-time imaging
David Brady
6. Hypercomplex Widely Linear Processing
Sayed Pouria Talebi and Clive Cheong Took
7. Hypercomplex phase retrieval
Kumar Vijay Mishra, Henry Arguello and Brian M. Sadler
8. Hypercomplex widely linear estimation
Wenyuan Wang and Kutluyil Dogancay
9. MIMO radar signal processing
Sergiy A. Vorobyov and Visa Koivunen
10. Computational lidar
Gonzalo R. Arce
11. Signal processing applications of higher-dimensional graphs
Santiago Segarra
12. Space-Time Radio Signal Processing by Photonic Upconversion
Xiao-Feng Qi and Dennis W. Prather
13. Computational imaging
Ayush Bhandari
14. Topology identification and learning over graphs using multi-dimensional data
Gonzalo Mateos, Georgios Giannakis, Yanning Shen and Ananthram Swami
- Edition: 1
- Latest edition
- Volume: 54
- Published: February 1, 2026
- Language: English
AS
Arni S.R. Srinivasa Rao
Arni S.R. Srinivasa Rao works in pure mathematics, applied mathematics, probability, artificial
intelligence and applications in medicine. He had edited these handbooks jointly with renowned statistician Dr. C. R. Rao. He is a Professor at the Medical College of Georgia,
Augusta University, U.S.A., and the Director of the Laboratory for Theory and Mathematical
Modeling housed within the Division of Infectious Diseases, Medical College of Georgia, Augusta,
U.S.A. Previously, Dr. Rao conducted research and/or taught at the Mathematical Institute, University of Oxford (2003, 2005-07), Indian Statistical Institute (1998-2002, 2006-2012), Indian Institute of Science (2002-04), University of Guelph (2004-06). Until 2012, Dr. Rao held a permanent faculty position at the Indian Statistical Institute. He has won the Heiwa-Nakajima Award (Japan) and Fast Track Young Scientists Fellowship in Mathematical Sciences (DST, New Delhi). Dr. Rao also proved a major theorem in stationary population models, such as, Rao’s Partition Theorem in
Populations, Rao-Carey Theorem in stationary populations, and developed mathematical
modeling-based policies for the spread of diseases like HIV, H5N1, COVID-19, etc. He developed
a new set of network models for understanding avian pathogen biology on grid graphs (these were
called chicken walk models), AI Models for COVID-19, and received wide coverage in the science
media. Dr. Rao is an elected Fellow of ISMMACS (Indian Society for Mathematical Modeling and
Computer Simulation), and ISPS (Indian Society for Probability and Statistics). He developed
concepts such as “Exact Deep Learning Machines”, and “Multilevel Contours within a bundle of Complex Number Planes”.
AS
Arni S.R. Srinivasa Rao
Arni S.R. Srinivasa Rao works in pure mathematics, applied mathematics, probability, artificial
intelligence and applications in medicine. He had edited these handbooks jointly with renowned statistician Dr. C. R. Rao. He is a Professor at the Medical College of Georgia,
Augusta University, U.S.A., and the Director of the Laboratory for Theory and Mathematical
Modeling housed within the Division of Infectious Diseases, Medical College of Georgia, Augusta,
U.S.A. Previously, Dr. Rao conducted research and/or taught at the Mathematical Institute, University of Oxford (2003, 2005-07), Indian Statistical Institute (1998-2002, 2006-2012), Indian Institute of Science (2002-04), University of Guelph (2004-06). Until 2012, Dr. Rao held a permanent faculty position at the Indian Statistical Institute. He has won the Heiwa-Nakajima Award (Japan) and Fast Track Young Scientists Fellowship in Mathematical Sciences (DST, New Delhi). Dr. Rao also proved a major theorem in stationary population models, such as, Rao’s Partition Theorem in
Populations, Rao-Carey Theorem in stationary populations, and developed mathematical
modeling-based policies for the spread of diseases like HIV, H5N1, COVID-19, etc. He developed
a new set of network models for understanding avian pathogen biology on grid graphs (these were
called chicken walk models), AI Models for COVID-19, and received wide coverage in the science
media. Dr. Rao is an elected Fellow of ISMMACS (Indian Society for Mathematical Modeling and
Computer Simulation), and ISPS (Indian Society for Probability and Statistics). He developed
concepts such as “Exact Deep Learning Machines”, and “Multilevel Contours within a bundle of Complex Number Planes”.
KM
Kumar Vijay Mishra
GA