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Springer - Sparse Signal Processing for Massive MIMO Book

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Description

This Springer publication provides an in-depth look at utilizing sparse signal processing techniques for the design of massive MIMO communication systems. As antenna counts increase, managing high-dimensional channel matrices and massive user access requires highly efficient algorithms. This book addresses these challenges through detailed discussions on compressive sensing techniques and performance simulations on wireless systems. Designed for researchers, engineers, and graduate students in the field, the text offers easy-to-understand instructions. Readers benefit from detailed simulations and access to open-sourced codes, making it a practical resource for mastering complex signal processing in modern wireless communications.

Key Features

This Springer book focuses on sparse signal processing techniques specifically for designing massive MIMO communication systems.

The content provides in-depth discussions regarding compressive sensing techniques to handle high-dimensional channel matrices.

Readers can study wireless system performance through detailed simulations included within the text.

The book includes open-sourced codes to provide practical convenience for technical implementation.

Easy-to-understand instructions make this a valuable resource for graduate students, researchers, and engineers.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 October 2024
Listed Since
19 October 2024

Barcode

No barcode data available

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