Communication Principles for Data Science [E-Book] / by Changho Suh.
This book introduces the basic principles underlying the design and analysis of the digital communication systems that have heralded the information revolution. One major goal of the book is to demonstrate the role of the digital communication principles in a wide variety of data science application...
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Full text |
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Personal Name(s): | Suh, Changho, author |
Edition: |
1st edition 2023. |
Imprint: |
Singapore :
Springer,
2023
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Physical Description: |
XIV, 283 pages 131 illustrations, 103 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9789811980084 |
DOI: |
10.1007/978-981-19-8008-4 |
Series Title: |
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Signals and Communication Technology
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Subject (LOC): |
- Preface
- Acknowledgements
- Part 1. Communication over the Gaussian channel
- Chapter 1.Overview of the book
- Chapter 2. A statistical model for additive noise channels
- Chapter 3. Additive Gaussian noise model
- Problem Set 1
- Chapter 4. Optimal receiver: maximum A Posteriori (MAP) principle
- Chapter 5. Analysis of error probability
- Chapter 6. Multiple bits transmission via pulse amplitude modulation
- Problem Set 2
- Chapter 7. Multi-shot communication
- Chapter 8. Repetition coding
- Chapter 9: Capacity of the additive white Gaussian noise channel
- Problem Set 3
- Part 2. Communication over inter-symbol interference (ISI) channels
- Chapter 10. Signal conversion from discrete to continuous time (1/2)
- Chapter 11. Signal conversion from discrete to continuous time (2/2)
- Chapter 12. Optimal receiver architecture
- Problem Set 4
- Chapter 13. Optimal receiver in ISI channels: maximum likelihood (ML) sequence detection
- Chapter 14. Optimal receiver in ISI channels: Viterbi algorithm
- Problem Set 5
- Chapter 15.Orthogonal frequency division multiplexing (1/3)
- Chapter 16. Orthogonal frequency division multiplexing (2/3)
- Chapter 17. Orthogonal frequency division multiplexing (3/3)
- Problem Set 6
- Part 3.Data science applications
- Chapter 18. Community detection as a communication problem
- Chapter 19. Community detection: ML principle
- Chapter 20. Community detection: An efficient algorithm
- Chapter 21. Community detection: Python implementation
- Problem Set 7
- Chapter 22.Haplotype phasing as a communication problem
- Chapter 23. Haplotype phasing: ML principle
- Chapter 24: Haplotype phasing: An efficient algorithm. .