WIRELESS COMMUNICATION USING DEEP LEARNING TECHNIQUES FOR NEUROMORPHIC VLSI COMPUTING by Ziad El-Khatib ( 9783031737992 )

Item Details

Title:

WIRELESS COMMUNICATION USING DEEP LEARNING TECHNIQUES FOR NEUROMORPHIC VLSI COMPUTING

By:

Ziad El-Khatib

Format:

Hardback

List price:

£44.99

Our price:

£39.37

Discount:

12.5% off

You save:

£5.62

ISBN 10:

3031737997

ISBN 13:

9783031737992

Availability:

Usually dispatched within 3-5 days.

Delivery rates

Stock:

Currently 2 available

Publisher:

SPRINGER INTERNATIONAL PUBLISHING AG

Pub. date:

6 December, 2024

Edition:

2024 ed.

Series:

Synthesis Lectures on Engineering, Science, and Technology

Pages:

106

Description:

This book describes Deep Learning-based architecture design for intelligent wireless communication systems and specifically for Deep Learning-based receiver design. Deep Learning-based architecture design utilizes Deep Learning (DL) techniques to reformulate the traditional block-based wireless communication architecture.

Illustrations:

48 Illustrations, color; 12 Illustrations, black and white; Approx. 150 p. 50 illus. in color.

Returns:

Returnable

Some other items by this author:

DISTRIBUTED CMOS BIDIRECTIONAL AMPLIFIERS (HB)

DISTRIBUTED CMOS BIDIRECTIONAL AMPLIFIERS (PB)

FULLY-INTEGRATED SILICON RF DISTRIBUTED AMPLIFIER LINEARIZATION

Information provided by www.pickabook.co.uk