本の詳細
形式
ペーパーバック
ページ数
112
言語
英語
公開されました
Nov 7, 2018
出版社
Springer
ISBN-10
3030002896
ISBN-13
9783030002893
説明
This work explores the innovative concept of sparse representation within the realm of wireless communications, delving into its implications for data-driven wireless networks. The authors present a thorough examination of how compressive spectrum techniques can optimize communication systems, enhancing their efficiency and effectiveness in managing spectrum resources.
Drawing from contemporary research, the book highlights various applications and methodologies that leverage data-driven approaches to tackle challenges in wireless networking. Readers will find valuable insights as they navigate the intersection of data analysis and communication technologies, equipping them with a deeper understanding of modern wireless network design and implementation.
Drawing from contemporary research, the book highlights various applications and methodologies that leverage data-driven approaches to tackle challenges in wireless networking. Readers will find valuable insights as they navigate the intersection of data analysis and communication technologies, equipping them with a deeper understanding of modern wireless network design and implementation.