| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~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 | 819.2 B | ||
| 1. Why Digital Analog vs Digital Systems.mp4 | 87.7 MB | ||
| 2 - The Adversary Noise and Probability | |||
| 3 - The Ultimate Limit Information Theory | |||
| 10. 3 Ultimate Limit Information Theory.pdf | 1.1 MB | ||
| 10. Practical Implications Bandwidth Power and the Capacity Bandwidth Tradeoff.mp4 | 184.9 MB | ||
| 4 - Analog to Digital Conversion | |||
| 11. 4 Analog to Digital Conversion.pdf | 2 MB | ||
| 11. The Bridge From Continuous to Discrete.mp4 | 143.5 MB | ||
| 12. 4 Analog to Digital Conversion.pdf | 2 MB | ||
| 12. Sampling Theorem and Aliasing Prevention (Nyquist Rate).mp4 | 109.4 MB | ||
| 13. 4 Analog to Digital Conversion.pdf | 2 MB | ||
| 13. Quantization Uniform vs Non Uniform.mp4 | 82.7 MB | ||
| 14. 4 Analog to Digital Conversion.pdf | 2 MB | ||
| 14. Pulse Code Modulation (PCM).mp4 | 129.8 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 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 | ||
| 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 |
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.
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