Machine Learning Algorithms for Signal and Image Processing (Hardcover)
暫譯: 信號與影像處理的機器學習演算法 (精裝版)

Tripathi, Suman Lata, Ghai, Deepika, Saxena, Sobhit

  • 出版商: Wiley
  • 出版日期: 2022-12-08
  • 售價: $1,850
  • 貴賓價: 9.8$1,813
  • 語言: 英文
  • 頁數: 512
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119861829
  • ISBN-13: 9781119861829
  • 相關分類: Machine LearningAlgorithms-data-structures
  • 立即出貨 (庫存 < 3)

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商品描述

Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing

Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks.

Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as:

  • Speech recognition, image reconstruction, object classification and detection, and text processing
  • Healthcare monitoring, biomedical systems, and green energy
  • How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time
  • Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection

Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

商品描述(中文翻譯)

使讀者能夠理解機器學習和深度學習技術的基本概念,並透過互動式的實際應用於信號和影像處理中

信號與影像處理的機器學習演算法幫助讀者設計和開發實際應用,利用機器學習的進展來輔助和增強語音信號處理、影像處理、計算機視覺、生物醫學信號處理、自適應濾波和文本處理。它包括應用於預處理、特徵提取、源分離或數據分解的信號處理技術,以實現機器學習任務。

本書由具備良好資格的作者撰寫,並由該領域的專家團隊貢獻,涵蓋了廣泛的重要主題,例如:


  • 語音識別、影像重建、物體分類與檢測以及文本處理

  • 健康監測、生物醫學系統和綠色能源

  • 各種機器學習和深度學習技術如何改善準確性、精確率、召回率和處理時間

  • 實際應用和範例,包括智慧手語識別、社交媒體中的假新聞檢測、結構損壞預測和癲癇發作檢測

在信號和影像處理領域尋求進一步適應其工作的專業人士,將會在這本易於理解但極為全面的參考書中獲得巨大的價值。對於希望徹底了解該領域歷史和近期發展的相關領域學生和研究人員來說,這也是一個值得的資源。

作者簡介

Dr. Deepika Ghai is Assistant Professor of Signal and Image Processing at Lovely Professional University, India. Dr. Ghai received her PhD from Punjab Engineering College, India.

Dr. Suman Lata Tripathi is Professor of VLSI Design at Lovely Professional University, India. She is an IEEE senior member and received her PhD in microelectronics and VLSI from MNNIT, Allahabad.

Dr. Sobhit Saxena is Associate Professor at Lovely Professional University. He completed his PhD from IIT Roorkee in Nanomaterials.

Dr. Manash Chanda is Assistant Professor in the Department of ECE, Meghnad Saha Institute of Technology, India. He received his PhD in Engineering from Jadavpur University in 2018.

Dr. Mamoun Alazab is Associate Professor at the College of Engineering, IT and Environment at Charles Darwin University, Australia. He has published 150+ research papers in international journals and conferences, such as IEEE Transactions on Industrial Informatics

作者簡介(中文翻譯)

Deepika Ghai 博士 是印度 Lovely Professional University 的信號與影像處理助理教授。Ghai 博士於印度旁遮普工程學院獲得博士學位。

Suman Lata Tripathi 博士 是印度 Lovely Professional University 的 VLSI 設計教授。她是 IEEE 的資深會員,並於阿拉哈巴德的 MNNIT 獲得微電子學和 VLSI 的博士學位。

Sobhit Saxena 博士 是 Lovely Professional University 的副教授。他在 IIT Roorkee 完成了納米材料的博士學位。

Manash Chanda 博士 是印度 Meghnad Saha Institute of Technology 電子與通訊工程系的助理教授。他於 2018 年在賈達布珀大學獲得工程學博士學位。

Mamoun Alazab 博士 是澳大利亞查爾斯達爾文大學工程、資訊科技與環境學院的副教授。他在國際期刊和會議上發表了超過 150 篇研究論文,例如 IEEE Transactions on Industrial Informatics。