DiscoverIntroduction to EECS II: Digital Communication SystemsLecture 8: Noise
Lecture 8: Noise

Lecture 8: Noise

Update: 2014-03-06
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This lecture introduces a noise model based on a Gaussian random variable. Background on calculating mean and variance of probability density function is given alongside steps to estimate noise parameters and calculate bit energy.
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Lecture 24: History of the Internet cont'd, course summary

Lecture 24: History of the Internet cont'd, course summary

2014-03-0651:11

Lecture 19: Network routing (without failures)

Lecture 19: Network routing (without failures)

2014-03-0642:56

Lecture 21: Reliable transport

Lecture 21: Reliable transport

2014-03-0650:08

Lecture 22: Sliding window analysis, Little's law

Lecture 22: Sliding window analysis, Little's law

2014-03-0653:26

Lecture 23: A brief history of the Internet

Lecture 23: A brief history of the Internet

2014-03-0651:15

Lecture 20: Network routing (with failures)

Lecture 20: Network routing (with failures)

2014-03-0651:08

Lecture 18: MAC protocols

Lecture 18: MAC protocols

2014-03-0653:39

Lecture 17: Packet switching

Lecture 17: Packet switching

2014-03-0650:08

Lecture 15: Modulation/demodulation

Lecture 15: Modulation/demodulation

2014-03-0652:02

Lecture 16: More on modulation/demodulation

Lecture 16: More on modulation/demodulation

2014-03-0647:43

Lecture 14: Spectral representation of signals

Lecture 14: Spectral representation of signals

2014-03-0649:13

Lecture 12: Filters and composition

Lecture 12: Filters and composition

2014-03-0651:04

Lecture 13: Frequency response of LTI systems

Lecture 13: Frequency response of LTI systems

2014-03-0649:39

Lecture 11: LTI channel and intersymbol interference

Lecture 11: LTI channel and intersymbol interference

2014-03-0648:16

Lecture 10: Linear time-invariant (LTI) systems

Lecture 10: Linear time-invariant (LTI) systems

2014-03-0650:29

Lecture 9: Transmitting on a physical channel

Lecture 9: Transmitting on a physical channel

2014-03-0648:44

Lecture 8: Noise

Lecture 8: Noise

2014-03-0650:36

Lecture 6: Convolutional codes

Lecture 6: Convolutional codes

2014-03-0649:23

Lecture 7: Viterbi decoding

Lecture 7: Viterbi decoding

2014-03-0649:22

Lecture 4: Linear block codes, parity relations

Lecture 4: Linear block codes, parity relations

2014-03-0649:59

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Lecture 8: Noise

Lecture 8: Noise

George Verghese