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Digital Signal Processing for Wireless Communication using Matlab [electronic resource] / by E.S. Gopi.

By: Gopi, E.S [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Signals and Communication Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 2nd ed. 2021.Description: XIII, 224 p. 30 illus., 20 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030820367.Subject(s): Signal processing | Computer engineering | Computer networks  | Telecommunication | Signal, Speech and Image Processing | Computer Engineering and Networks | Communications Engineering, NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- Modulation techniques and Spectral density estimation -- Time varying wireless channel model -- Detection and estimation theory for wireless communication -- MIMO and OFDM system model -- Introduction to 5G and beyond technologies -- Conclusion.
In: Springer Nature eBookSummary: The updated book presents Matlab illustrations on various digital signal processing (DSP) techniques such as random process, time varying wireless system model, and detection and estimation theory used in wireless communication. The book also covers recent wireless techniques like OFDM, massive MIMO techniques, non-orthogonal multiple access, millimeter wave MIMO, full duplex, cognitive radio, co-operating communication, unmanned aerial vehicles etc. This book is suitable for those who are doing basic and applied research in digital signal processing for wireless communication. Presents a updated guide to signal processing techniques involved in wireless communication; Discusses multiple access techniques such as random process, time varying wireless system model and estimation theory; Ideal for those doing basic and applied research in digital signal processing for wireless communication.
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Introduction -- Modulation techniques and Spectral density estimation -- Time varying wireless channel model -- Detection and estimation theory for wireless communication -- MIMO and OFDM system model -- Introduction to 5G and beyond technologies -- Conclusion.

The updated book presents Matlab illustrations on various digital signal processing (DSP) techniques such as random process, time varying wireless system model, and detection and estimation theory used in wireless communication. The book also covers recent wireless techniques like OFDM, massive MIMO techniques, non-orthogonal multiple access, millimeter wave MIMO, full duplex, cognitive radio, co-operating communication, unmanned aerial vehicles etc. This book is suitable for those who are doing basic and applied research in digital signal processing for wireless communication. Presents a updated guide to signal processing techniques involved in wireless communication; Discusses multiple access techniques such as random process, time varying wireless system model and estimation theory; Ideal for those doing basic and applied research in digital signal processing for wireless communication.

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