Signal Processing and Transceiver Programming for IoT Applications | Theory Applications and Future Directions in IoT Communication

Manish Singh

ISBN 10: 6208011302 / ISBN 13: 9786208011307

Published by LAP LAMBERT Academic Publishing, 2024

About this Item

Signal Processing and Transceiver Programming for IoT Applications | Theory Applications and Future Directions in IoT Communication | Manish Singh | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208011307 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 130048651

Bibliographic Details

• Title: Signal Processing and Transceiver Programming for IoT Applications | Theory Applications and Future Directions in IoT Communication
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 6208011302
• ISBN 13: 9786208011307
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 107 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Signal processing is a vital component in the Internet of Things (IoT) ecosystem, playing a pivotal role in extracting valuable insights from the vast amounts of data generated by IoT devices. The proliferation of IoT devices has led to an exponential increase in data, which, if not processed and analyzed efficiently, can result in information overload. Signal processing techniques are essential to convert this data into actionable intelligence, enabling IoT applications to make informed decisions in real-time. Signal processing is integral to the effective functioning of IoT systems, particularly in the context of RX/TX operations. By leveraging advanced signal processing techniques, IoT systems can efficiently manage and analyze the vast amounts of data generated, converting it into actionable intelligence. This capability not only helps in preventing information overload but also enhances the overall performance and decision-making processes of IoT applications.