Multidimensional or spatio-temporal signals are important in image processing and television. This book presents the mathematical methods for processing multidimensional signals. It describes applications in system analysis, measurement and optimization and signal restoration, with varying examples of applications.

In this book signals or images described by functions whose number of arguments varies from one to five are considered. This arguments can be time, spatial dimensions, or wavelength in a polychromatic signal. The book discusses the basics of mathematical models of signals, their transformations in technical pre-processing systems, and criteria of the systems quality. The models are used for the solution of practical tasks of system analysis, measurement and optimization, and signal restoration. Several examples are given.

This volume includes extended and revised versions of a set of selected papers from the First International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2020, held as virtual event in November 4-6, 2020 and Second International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2021, held as virtual event in October 25-27, 2021. The 9 full papers included in this book were carefully reviewed and selected from 44 submissions. They were organized in topical sections as follows: ​on kernel search based gaussian process anomaly detection; general architecture framework and general modelling framework.