机读格式显示(MARC)

• 000 01808cam a2200325 i 4500

• 001 0000842998

• 005 20250923083200.0

• 008 210920s2022 flua b 001 0 eng

• 010 __ |a ^^2021032155

• 020 __ |a 9780367618902 |q (hardback)

• 020 __ |a 9780367618926 |q (paperback)

• 020 __ |z 9781003107026 |q (ebook)

• 040 __ |a DLC |b eng |e rda |c DLC |d DLC

• 050 00 |a Q325.5 |b M3219 2022

• 082 00 |a 006.3/1 |2 23

• 090 __ |a TP181/X9

• 093 __ |a TP181 |2 5

• 245 00 |a Machine learning in signal processing : |b applications, challenges and the road ahead / |c edited by Sudeep Tanwar, Anand Nayyar, Rudra Rameshwar.

• 260 __ |a Boca Raton : |b Chapman & Hall/CRC Press, |c 2022.

• 300 __ |a xiv, 373 pages : |b illstrations ; |c 27 cm

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 504 __ |a Includes bibliographical references and index.

• 520 __ |a "Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising 'signal processing (SP)' concepts to machine learning (ML). Machine Learning (ML), as the driving force of the wave of Artificial Intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for Machine Learning (ML). The focus is on understanding the contributions of signal processing and ML and its aim to solve some of the Artificial Intelligence (AI) and Machine Learning (ML) challenges"-- |c Provided by publisher.

• 650 _0 |a Machine learning.

• 650 _0 |a Signal processing.

• 700 1_ |a Tanwar, Sudeep, |e editor.

• 700 1_ |a Nayyar, Anand, |e editor.

• 700 1_ |a Rameshwar, Rudra, |e editor.