电子书百科大全
Deep Learning And Signal Processing
Author(s): Yecai Guo (Author), Lixiang Ma (Author)
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication Date: 2 Jun. 2026
- Language: English
- Print length: 396 pages
- ISBN-10: 9819824176
- ISBN-13: 9789819824175
Book Description
This monograph provides a comprehensive synthesis of recent research that demonstrates how deep learning methods can be effectively applied to achieve technological innovation in signal processing.Deep Learning and Signal Processing takes the reader through the evolution of machine and deep learning, beginning with the foundations of neural networks to advanced architectures such as deep recursive cascaded convolutional neural networks (CNNs), and core deep learning principles, to cutting-edge applications. Practical case studies in multiple areas such as blind equalization, remote sensing image classification, motion deblurring, handwriting recognition, ADHD diagnosis, and more, are integrated with learning points throughout the book.By bridging theory with real-world applications, the book equips engineering technicians, postgraduate students, researchers, and AI professionals with the expertise to overcome technological bottlenecks in applying deep learning to signal processing within their respective domains.
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