Binding: Paperback
Description: Tensors for Data Processing: Theory Methods and Applications presents both classical and state - of - the - art methods on tensor computation for data processing covering computation theories processing methods computing and engineering applications with an emphasis on techniques for data processing. This reference is ideal for students researchers and industry developers who want to understand and use tensor - based data processing theories and methods. As a higher - order generalization of a matrix tensor - based processing can avoid multi - linear data structure loss that occurs in classical matrix - based data processing methods. This move from matrix to tensors is beneficial for many diverse application areas including signal processing computer science acoustics neuroscience communication medical engineering seismology psychometric chemometrics biometric quantum physics and quantum chemistry.
Title: Tensors For Data Processing Theory Methods And Applications
Brand: Elsevier Science Publishing Co Inc
Barcode: 9780128244470
Pages: 596 Pages
Publication Date: 10/27/2021
Category: Signal Processing