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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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