Digital Modulations Using Python: Digital Modulations Using Python, De Mathuranathan Viswanathan. Editorial Independently Published, Tapa Blanda, Edición 1 En Inglés, 2016

Descripción

This paperback is a black & white edition. Digital Modulations using Python is a practical and example-driven book that provides a solid background in building simulation models for digital modulation systems in Python version 3. It serves as an essential guide for understanding the implementation aspects of a digital modulation system and shows how to simulate and model a digital modulation system from scratch. The simulation models implemented in this book allow an engineer to grasp the basic implementation aspects of modeling various building blocks of a digital modulation system. It covers key topics with the necessary theoretical background along with the implementation details in the form of Python scripts.

Key topics include: Basics of signal processing essential for implementing digital modulation techniques; generation of test signals; interpreting FFT results; power and energy of a signal; methods to compute convolution; analytic signal and applications. Waveform and complex baseband equivalent simulation models. Digital modulation techniques covered are BPSK and its variants, QPSK and its variants, M-ary PSK, M-ary QAM, M-ary PAM, CPM, MSK, GMSK, M-ary FSK. The book also includes simulations to ascertain the performance of digital modulation techniques in AWGN and fading channels; Eb/N0 Vs BER curves. It discusses the design and implementation of linear equalizers - zero forcing and MMSE equalizers, using them in a communication link, and the LMS algorithm for adaptive equalization. Additionally, it explores the simulation and performance of modulation systems with receiver impairments and provides examples using object-oriented programming. The simulation scripts utilize SciPy, Numpy, and Matplotlib packages.

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