Multidimensional Signal Processing

Multidimensional Signal Processing, Volume 54 in the Handbook of Statistics series

is 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.

Chapters include

Robust Parameter Estimation of Two Dimensional Chirp Model, Computability Theory for Multidimensional Signal Processing, Tensor signal processing, Spectral compressed sensing by structured matrix optimization methods, Space-time imaging, Hypercomplex Widely Linear Processing, and much more.

The book's chapters are meticulously curated to offer detailed, educational content rather than conventional journal-style articles.

Other chapters cover

Hypercomplex phase retrieval, Hypercomplex widely linear estimation, MIMO radar signal processing, Computational lidar, Signal processing applications of higher-dimensional graphs, Space-Time Radio Signal Processing by Photonic Upconversion, Computational imaging, and Topology identification and learning over graphs using multi-dimensional data.

Provides easy to understand concepts

Includes materials that are provided in an implementable way

Written by experts in the field