Multidimensional Discrete Unitary Transforms: Representation: Partitioning, and Algorithms

This reference presents a more efficient, flexible, and manageable approach to unitary transform calculation and examines novel concepts in the design, classification, and management of fast algorithms for different transforms in one-, two-, and multidimensional cases. Illustrating methods to construct new unitary transforms for best algorithm selection and development in real-world applications, the book contains a wide range of examples to compare the efficacy of different algorithms in a variety of one-, two-, and three-dimensional cases. Multidimensional Discrete Unitary Transforms builds progressively from simple representative cases to higher levels of generalization.

Sos S. Agaian is Full Professor, College of Engineering, University of Texas at San Antonio, and Adjunct Professor in the Department of Electrical Engineering, Tufts University, Medford, Massachusetts.