Tensors for Data Processing: Theory, Methods, and Applications
暫譯: 數據處理的張量:理論、方法與應用
Liu, Yipeng
- 出版商: Academic Press
- 出版日期: 2021-10-27
- 售價: $4,750
- 貴賓價: 9.5 折 $4,513
- 語言: 英文
- 頁數: 598
- 裝訂: Quality Paper - also called trade paper
- ISBN: 012824447X
- ISBN-13: 9780128244470
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
《張量在數據處理中的應用:理論、方法與應用》介紹了張量計算在數據處理中的經典及最先進的方法,涵蓋計算理論、處理方法、計算及工程應用,特別強調數據處理技術。本書是希望理解和使用基於張量的數據處理理論和方法的學生、研究人員及業界開發者的理想參考資料。
作為矩陣的高階推廣,基於張量的處理可以避免在經典矩陣數據處理方法中出現的多線性數據結構損失。從矩陣轉向張量對許多不同的應用領域都是有益的,包括信號處理、計算機科學、聲學、神經科學、通信、醫療工程、地震學、心理測量、化學計量、生物識別、量子物理和量子化學。