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Digital Modulations using Python provides a solid guide for understanding the implementation aspects of a digital modulation system, shows how to simulate and model a digital modulation system from scratch, and covers key topics including BPSK, QPSK, M-ary PSK, M-ary QAM, M-ary PAM, CPM, MSK, GMSK, M-ary FSK.
Digital Modulations using Python: Black & White edition
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Digital Modulations using Python provides a solid guide for understanding the implementation aspects of a digital modulation system, shows how to simulate and model a digital modulation system from scratch, and covers key topics including BPSK, QPSK, M-ary PSK, M-ary QAM, M-ary PAM, CPM, MSK, GMSK, M-ary FSK.
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What Stands Out
Product Details
- Learner-friendly book for understanding the implementation aspects of a digital modulation system
- Provides a solid background in building simulation models for digital modulation systems using Python
- Covers basics of signal processing and generation of test signals
- Includes simulation models for various digital modulation techniques
- Explains simulation for ascertaining performance in AWGN and fading channels
- Discusses design and implementation of linear equalizers and receiver impairments
| Publisher | Independently published |
| Publication date | December 2, 2019 |
| Language | English |
| Print length | 216 pages |
| ISBN-10 | 1712342746 |
| ISBN-13 | 978-1712342749 |
| Item Weight | 13.6 ounces (385.56 grams) |
| Dimensions | 7 x 0.49 x 10 inches (17.8 x 1.2 x 25.4 cm) |
Who Should Buy?
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Students of Engineering
Ideal for engineering students learning about digital communication systems and practical implementation using Python programming.
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Aspiring Data Scientists
Useful for data scientists interested in signal processing and data transmission concepts explained through Python examples.
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Research Professionals
Beneficial for researchers focusing on telecommunications, looking for practical Python applications in digital modulation techniques.
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Beginners in Programming
Not suitable for complete programming novices who may struggle with the complexity of Python and digital modulations.
Product Description
Digital Modulations using Python: Black & White edition
Product Buying Guide
Digital Modulations using Python: (Black & White edition) is a practical and example-driven book that aims to provide readers with a solid background in building simulation models for digital modulation systems in Python version 3. This essential guide demonstrates the implementation aspects of digital modulation systems, offering in-depth insights and practical examples for engineering professionals and learners.
Product Specifications
- Paperback format
- Black & white edition
- Published for Python version 3
Key Features
- Provides theoretical background and implementation details in Python scripts
- Covers basics of signal processing for implementing digital modulation techniques
- Includes simulation models for various digital modulation techniques
- Presents examples using object-oriented programming
- Utilizes SciPy, NumPy, and Matplotlib packages for simulation scripts
Usage Scenarios
- Engineers seeking to understand the implementation aspects of digital modulation systems
- Learners looking to build simulation models for digital modulation systems
- Professionals aiming to simulate and model digital modulation systems from scratch
Usage Scenarios
This book stands out due to its practical and example-driven approach, comprehensive coverage of digital modulation techniques, and utilization of Python version 3 for implementation. While there are other books available on digital modulations and Python programming, this book uniquely combines both aspects to provide a rich learning experience.
Some User Review
- The book provides a clear understanding of digital modulation techniques and their implementation using Python. The examples and simulation scripts are very helpful for practical learning.
- I found the coverage of signal processing basics and the use of simulation models to be particularly insightful. The book effectively bridges the theoretical and practical aspects of digital modulation systems.
Competitors
- The price of the book is competitive compared to similar publications in the market, making it an attractive choice for those interested in digital modulations using Python.
Buying Considerations
- Readers should consider their familiarity with Python programming, as the book focuses on implementing digital modulation systems using Python version 3.
- It is suitable for individuals looking for practical examples and simulations to grasp digital modulation concepts effectively.
Conclusion
Digital Modulations using Python: (Black & White edition) is a valuable resource for individuals interested in gaining a solid understanding of digital modulation systems and their implementation using Python. With its practical approach, comprehensive coverage, and competitive pricing, this book is an excellent choice for engineers, learners, and professionals in the field.
View LessDigital Modulations using Python: (Black & White edition) is a practical and example-driven book that aims to provide readers with a solid background in building simulation models for digital modulation systems in Python version 3. This essential guide demonstrates the implementation aspects of digital modulation systems, offering in-depth insights and practical examples for engineering professionals and learners. Continue Reading
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Pros
- Easy to follow explanations
- Comprehensive Python examples
- Great for beginners and pros
- Clear illustrations and diagrams
- Wide range of topics covered
Cons
- Some concepts may need further examples.
Product Price History
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Features & Benefits
- A practical, example-driven guide to learning digital modulation systems in Python
- Simulate and model digital modulation systems from scratch
- Covers BPSK, QPSK, M-ary PSK, M-ary QAM, M-ary PAM, CPM, MSK, GMSK, and M-ary FSK
- Understand implementation aspects like equalizers, receiver impairments, and more
- Includes examples using object-oriented programming and simulation scripts using popular packages like SciPy, Numpy and Matplotlib.
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