Chapter 2 / 2.7 / 2.7.8

2.7.8 What Limits The Speed Of A Communications System?

Explore the fundamental limits imposed by bandwidth and noise. Learn how the Nyquist Criterion and Shannon-Hartley Theorem define the maximum rates at which information can be transmitted reliably and why modern communications systems strive to approach these theoretical limits.

1. What Determines the Maximum Data Rate of a Communications System?
2. Why Does Bandwidth Limit Data Rate?
3. What Is the Nyquist Criterion?
4. Why Is the Nyquist Criterion Important?
5. What Is Inter-Symbol Interference (ISI)?
6. How Do Raised-Cosine Filters Reduce ISI?
7. Does the Nyquist Criterion Determine the Maximum Data Rate?
8. What Is the Shannon-Hartley Theorem?
9. What Does Channel Capacity Mean?
10. How Does Noise Limit Data Rate?
11. What Is Signal-to-Noise Ratio (SNR)?
12. Can Data Rate Be Increased Without Increasing Bandwidth?
13. Can Data Rate Be Increased Without Increasing Power?
14. Why Is Spectral Efficiency Important?
15. How Close Can Modern Systems Get to the Shannon Limit?
16. Do Fiber-Optic Systems Also Have Limits?
17. Why Are These Limits Important?

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