Requirements: .ePUB, .PDF reader, 24.7 MB
Overview: 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. In Chapter 1, we begin with a study of fundamental concepts of systems and signals and various transforms of signals and progress to the application of Digital Signal Processing tools in the design of communication subsystems. In Chapter 2, we explore software simulation and modeling tools like MATLAB, GNU Octave, Python, and Mathematica for the modeling, simulation and detailed analysis leading to comprehensive insights in Communication Systems. MATLAB and GNU Octave, as well as Mathematica are widely used software tools for the signal processing associated to communication systems. Python, on the otherhand, is the most widely used and popular programming language as reported by the IEEE.
Genre: Non-Fiction > Tech & Devices
Contents:
1. Introduction to Signals, Systems, and Processing.
2. System Simulation Tools.
2.1 Introduction to MATLAB & Simulink
2.2 Toolboxes and Blocksets in MATLAB
2.3 Filter Design Using MATLAB
2.4 System Simulation Using Simulink
2.5 MATLAB Online
2.6 Introduction to Mathematica
2.7 Introduction to GNU Octave
2.8 Introduction to Python
3. Signal Processing in Frequency Domain.
4. Introduction to Communication Systems.
5. Design of Analog Filters Using MATLAB.
6. Design of Digital Filters.
7. Introduction to Modern Communication Systems.
8. Signal Processing in Wireless Communication.
9. Advanced Communication Systems.
10. Machine Learning for Communication Systems.
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