Udemy - Digital Communication Systems - Fundamentals and Theory
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size1.7 GB
- Uploaded Byfreecoursewb
- Downloads39
- Last checkedFeb. 07th '26
- Date uploadedFeb. 06th '26
- Seeders 13
- Leechers6
Infohash : 105FB70F16162CD40AEE6E6165ACF06538085DEF
Digital Communication Systems: Fundamentals & Theory
https://WebToolTip.com
Published 1/2026
Created by RAHUL GULIA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 14 Lectures ( 2h 18m ) | Size: 1.65 GB
From Information Theory to Pulse Code Modulation: Building the Modern Digital Chain
What you'll learn
✓ Learn why "Gaussian" is the vital term for modeling physical-layer interference in real-world communication channels.
✓ Master Random Variables and the Q-function to accurately derive and predict Bit Error Rates (BER) in high-stakes noisy environments.
✓ Apply Shannon’s Capacity Theorem to find the max data rate and navigate the fundamental Bandwidth-Power engineering tradeoff.
✓ Map the analog-to-digital journey through Sampling, Quantization, and encoding into robust Pulse Code Modulation (PCM) bitstreams.
✓ Course includes technical mindmaps to move back and forth between any topic quickly to see how they connect.
Requirements
● College-Level Calculus. Linear Algebra Fundamentals.
Files:
[ WebToolTip.com ] Udemy - Digital Communication Systems - Fundamentals and Theory- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction and Review
- 1. 1 Introduction and Review.pdf (1.4 MB)
- 1. Why Digital Analog vs Digital Systems (Description).html (0.8 KB)
- 1. Why Digital Analog vs Digital Systems.mp4 (87.7 MB)
- 2. 1 Introduction and Review.pdf (1.4 MB)
- 2. The Digital Communication Chain Source to Sink.mp4 (80.1 MB)
- 3. 1 Introduction and Review.pdf (1.4 MB)
- 3. Review Signals Frequency Time Domains and the Fourier Transform.mp4 (107.4 MB)
- 4. 2 Adversary Noise and Probability.pdf (1.7 MB)
- 4. The Nature of Noise Additive White and Gaussian.mp4 (86.4 MB)
- 5. 2 Adversary Noise and Probability.pdf (1.7 MB)
- 5. Basic Probability and Random Variables.mp4 (132.6 MB)
- 6. 2 Adversary Noise and Probability.pdf (1.7 MB)
- 6. The Gaussian Distribution and its central role in noise modeling.mp4 (126.2 MB)
- 7. 2 Adversary Noise and Probability.pdf (1.7 MB)
- 7. Defining Power Energy and the crucial Signal to Noise Ratio (SNR).mp4 (97.4 MB)
- 10. 3 Ultimate Limit Information Theory.pdf (1.1 MB)
- 10. Practical Implications Bandwidth Power and the Capacity Bandwidth Tradeoff.mp4 (184.9 MB)
- 8. 3 Ultimate Limit Information Theory.pdf (1.1 MB)
- 8. Defining Information and Entropy.mp4 (202.7 MB)
- 9. 3 Ultimate Limit Information Theory.pdf (1.1 MB)
- 9. Shannon's Capacity Theorem Understanding the theoretical maximum data rate.mp4 (101.0 MB)
- 11. 4 Analog to Digital Conversion.pdf (2.0 MB)
- 11. The Bridge From Continuous to Discrete.mp4 (143.5 MB)
- 12. 4 Analog to Digital Conversion.pdf (2.0 MB)
- 12. Sampling Theorem and Aliasing Prevention (Nyquist Rate).mp4 (109.4 MB)
- 13. 4 Analog to Digital Conversion.pdf (2.0 MB)
- 13. Quantization Uniform vs Non Uniform.mp4 (82.7 MB)
- 14. 4 Analog to Digital Conversion.pdf (2.0 MB)
- 14. Pulse Code Modulation (PCM).mp4 (129.8 MB)
- Bonus Resources.txt (0.1 KB)
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