Udemy - Digital Communication Systems - Fundamentals and Theory

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 1.7 GB
  • Uploaded By freecoursewb
  • Downloads 54
  • Last checked 4 hours ago
  • Date uploaded 1 day ago
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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
βœ“ Learn why "Gaussian" is the vital term for modeling physical-layer interference in real-world communication channels.
βœ“ Master Random Variables and the Q-function to accurately derive and predict Bit Error Rates (BER) in high-stakes noisy environments.
βœ“ Apply Shannon’s Capacity Theorem to find the max data rate and navigate the fundamental Bandwidth-Power engineering tradeoff.
βœ“ Map the analog-to-digital journey through Sampling, Quantization, and encoding into robust Pulse Code Modulation (PCM) bitstreams.
βœ“ 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)
    2 - The Adversary Noise and Probability
    • 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)
    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)
    • 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)
    4 - Analog to Digital Conversion
    • 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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