This paperback is a black & white edition. Link to the color edition: https://www.amazon.com/dp/1712321633.
Digital Modulation Simulation Models in Python
Digital Modulations using Python provides a practical, example-driven approach to building simulation models for digital modulation systems using Python version 3. This technical guide demonstrates how to simulate and model digital modulation systems from the ground up, giving engineers and students the implementation knowledge needed to understand each building block of a digital modulation system.
What You'll Learn
The book combines essential theoretical background with hands-on Python implementation scripts. Each topic includes working code examples using SciPy, NumPy, and Matplotlib packages, allowing you to immediately apply concepts to real simulation scenarios.
Signal Processing Fundamentals
Master the basics required for implementing digital modulation techniques: test signal generation, FFT interpretation, power and energy calculations, convolution methods, and analytic signal applications. These foundational skills support all subsequent modulation implementations.
Modulation Techniques Covered
The book covers comprehensive digital modulation schemes including BPSK and variants, QPSK and variants, M-ary PSK, M-ary QAM, M-ary PAM, CPM, MSK, GMSK, and M-ary FSK. Each technique includes complete simulation models demonstrating both waveform and complex baseband equivalent representations.
Performance Analysis
Learn to simulate and evaluate modulation technique performance in AWGN and fading channels through Eb/N0 versus BER curve generation. The book includes methods for testing systems with receiver impairments to understand real-world performance degradation.
Equalizer Design and Implementation
Detailed coverage of linear equalizer design includes zero forcing and MMSE equalizers, their integration into communication links, and LMS algorithm implementation for adaptive equalization scenarios.
Object-Oriented Programming Examples
The book incorporates object-oriented programming principles, showing how to structure simulation code for maintainability and reusability in larger projects.
Who This Book Is For
This guide serves engineers, graduate students, and researchers working with digital communication systems who need practical Python implementation skills. The learner-friendly approach makes complex modulation concepts accessible through working code examples and clear explanations.
