
- 324 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Signal Processing Techniques for Communication
About this book
The reference text discusses signal processing tools and techniques used for the design, testing, and deployment of communication systems. It further explores software simulation and modeling tools like MATLAB, GNU Octave, Mathematica, and Python for modeling, simulation, and detailed analysis leading to comprehensive insights into communication systems. The book explains topics such as source coding, pulse demodulation systems, and the principle of sampling and aliasing.
This book:
- Discusses modern techniques including analog and digital filter design, and modulation principles including quadrature amplitude modulation, and differential phase shift keying.
- Covers filter design using MATLAB, system simulation using Simulink, signal processing toolbox, linear time-invariant systems, and non-linear time-variant systems.
- Explains important pulse keying techniques including Gaussian minimum shift keying and quadrature phase shift keying.
- Presents signal processing tools and techniques for communication systems design, modeling, simulation, and deployment.
- Illustrates topics such as software-defined radio (SDR) systems, spectrum sensing, and automated modulation sensing.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Signal Processing Techniques for Communication by K.C. Raveendranathan in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.
Information
Edition
1Table of contents
- Cover Page
- Half-Title Page
- Title Page
- Copyright Page
- Dedication Page
- Contents
- Foreword
- Preface
- About the author
- Chapter 1 Introduction to Signals, Systems, and Processing
- Chapter 2 System Simulation Tools
- Chapter 3 Signal Processing in Frequency Domain
- Chapter 4 Introduction to Communication Systems
- Chapter 5 Design of Analog Filters Using MATLAB
- Chapter 6 Design of Digital Filters
- Chapter 7 Introduction to Modern Communication Systems
- Chapter 8 Signal Processing in Wireless Communication
- Chapter 9 Advanced Communication Systems
- Chapter 10 Machine Learning for Communication Systems
- Index