The book explores a new general approach to selecting-and designing-data
processing techniques. Symmetry and invariance ideas behind this
algebraic approach have been successful in physics, where many new
theories are formulated in symmetry terms.
The book explains this approach and expands it to new application areas
ranging from engineering, medicine, education to social sciences. In
many cases, this approach leads to optimal techniques and optimal
solutions.
That the same data processing techniques help us better analyze wooden
structures, lung dysfunctions, and deep learning algorithms is a good
indication that these techniques can be used in many other applications
as well.
The book is recommended to researchers and practitioners who need to
select a data processing technique-or who want to design a new technique
when the existing techniques do not work. It is also recommended to
students who want to learn the state-of-the-art data processing.