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Lecture 1 – Introduction to digital communication |
Communication Engineering |
80 min |
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Lecture 2 – Discrete source encoding |
Communication Engineering |
79 min |
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Lecture 3 – Memory-less sources |
Communication Engineering |
69 min |
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Lecture 4 – Entropy and asymptotic equipartition property |
Communication Engineering |
81 min |
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Lecture 5 – Markov sources and Lempel-Ziv universal codes |
Communication Engineering |
79 min |
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Lecture 6 – Quantization |
Communication Engineering |
80 min |
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Lecture 7 – High rate quantizers and waveform encoding |
Communication Engineering |
80 min |
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Lecture 8 – Fourier Series |
Communication Engineering |
79 min |
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Lecture 9 – Discrete-time fourier transforms |
Communication Engineering |
77 min |
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Lecture 10 – Degrees of freedom |
Communication Engineering |
78 min |
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Lecture 11 – Signal space |
Communication Engineering |
83 min |
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Lecture 12 – Nyquist theory |
Communication Engineering |
81 min |
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Lecture 13 – Random processes |
Communication Engineering |
75 min |
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Lecture 14 – Gaussian random vectors white Gaussian noise (WGN) |
Communication Engineering |
81 min |
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Lecture 15 – Linear functionals and filtering of random processes |
Communication Engineering |
78 min |
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Lecture 16 – Introduction to detection |
Communication Engineering |
72 min |
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Lecture 17 – Detection for random vectors and processes |
Communication Engineering |
68 min |
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Lecture 18 – Theorem of irrelevance |
Communication Engineering |
73 min |
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Lecture 19 – Baseband detection and complex Gaussian processes |
Communication Engineering |
77 min |
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Lecture 20 – Introduction of wireless communication |
Communication Engineering |
76 min |
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Lecture 21 – Doppler spread |
Communication Engineering |
77 min |
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Lecture 22 – Discrete-time baseband models for wireless channels |
Communication Engineering |
71 min |
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Lecture 23 – Rrayleigh fading and incoherent channels |
Communication Engineering |
64 min |
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Lecture 24 – Code division multiple access (CDMA) |
Communication Engineering |
70 min |
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