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Digital Modulations using Python: (Color edition) Paperback – Dec 2 2019

4.6 4.6 out of 5 stars 3 ratings

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This paperback is a color edition. Link to the black & white edition: https://www.amazon.com/dp/1712342746 .
A learner-friendly, practical and example driven book, Digital Modulations using Python gives you a solid background in building simulation models for digital modulation systems in Python version 3. This book, an essential guide for understanding the implementation aspects of a digital modulation system, shows how to simulate and model a digital modulation system from scratch. The implemented simulation models shown in this book, provide an opportunity for an engineer to understand the basic implementation aspects of modeling various building blocks of a digital modulation system. It presents the key topics with required theoretical background along with the implementation details in the form of Python scripts.
Key topics:
► 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: BPSK and its variants, QPSK and its variants, M-ary PSK, M-ary QAM, M-ary PAM, CPM, MSK, GMSK,M-ary FSK.
► Simulation for ascertaining performance of digital modulation techniques in AWGN and fading channels - Eb/N0 Vs BER curves.
► Design and implementation of linear equalizers - zero forcing and MMSE equalizers, using them in a communication link, LMS algorithm for adaptive equalization.
► Simulation and performance of modulation systems with receiver impairments.
► Examples using object oriented programming.
► Simulation scripts using SciPy, Numpy and Matplotlib packages.

Product details

  • Publisher ‏ : ‎ Independently published (Dec 2 2019)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 216 pages
  • ISBN-10 ‏ : ‎ 1712321633
  • ISBN-13 ‏ : ‎ 978-1712321638
  • Item weight ‏ : ‎ 531 g
  • Dimensions ‏ : ‎ 17.78 x 1.3 x 25.4 cm
  • Customer Reviews:
    4.6 4.6 out of 5 stars 3 ratings

About the author

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Mathuranathan Viswanathan
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Mathuranathan Viswanthan is the author of a popular technical blog gaussianwaves.com that elaborates on signal processing for communication systems. His area of expertise include PHY layer signal processing algorithms for wireless applications, building simulation models for communication systems, code development using python and C++. He holds a Master's degree in Communication Engineering from BITS-Pilani, India.

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  • Barrett
    5.0 out of 5 stars One chapter down, probably more to go
    Reviewed in the United States on April 27, 2020
    Verified Purchase
    Through the first chapter (which encompasses the majority of my interest in this writing) this document shows to be educational.