6.451 | Spring 2005 | Graduate

Principles of Digital Communication II

Lecture Videos

pdf
185 kB
chap_1.pdf
pdf
450 kB
chap1_3.pdf
video
151 MB
Lecture 1: Introduction Sampling Theorem
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226 kB
chap_2.pdf
video
145 MB
Lecture 2: Performance of Small Signal Constellations
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227 kB
chap_3.pdf
video
157 MB
Lecture 3: Hard-decision and Soft-decision Decoding
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143 kB
chap4.pdf
video
144 MB
Lecture 4: Hard-decision and Soft-decision Decoding
pdf
267 kB
chap_5.pdf
video
179 MB
Lecture 5: Introduction to Binary Block Codes
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289 kB
chap6.pdf
video
156 MB
Lecture 6: Introduction to Binary Block Codes
pdf
392 kB
chap7.pdf
video
154 MB
Lecture 7: Introduction to Finite Fields
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901 kB
chap8.pdf
video
162 MB
Lecture 8: Introduction to Finite Fields
pdf
272 kB
chap9.pdf
video
159 MB
Lecture 9: Introduction to Finite Fields
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235 kB
chap10.pdf
video
159 MB
Lecture 10: Reed-Solomon Codes
pdf
292 kB
chap11.pdf
video
154 MB
Lecture 11: Reed-Solomon Codes
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146 kB
chap12.pdf
video
176 MB
Lecture 12: Reed-Solomon Codes
pdf
292 kB
chap13.pdf
video
156 MB
Lecture 13: Introduction to Convolutional Codes
pdf
235 kB
chap14.pdf
video
157 MB
Lecture 14: Introduction to Convolutional Codes
video
154 MB
Lecture 15: Trellis Representations of Binary Linear Block Codes
video
157 MB
Lecture 16: Trellis Representations of Binary Linear Block Codes
video
154 MB
Lecture 17: Codes on Graphs
video
159 MB
Lecture 18: Codes on Graphs
video
157 MB
Lecture 19: The Sum-Product Algorithm
video
150 MB
Lecture 20: Turbo, LDPC, and RA Codes
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149 MB
Lecture 21: Turbo, LDPC, and RA Codes
video
152 MB
Lecture 22: Lattice and Trellis Codes
video
129 MB
Lecture 23: Lattice and Trellis Codes
video
155 MB
Lecture 24: Linear Gaussian Channels
video
162 MB
Lecture 25: Linear Gaussian Channels

Course Info

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As Taught In
Spring 2005
Level
Graduate
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Lecture Videos
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