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Principles of Communication Engineering II
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Date | Topic | Handouts | Exercise (due on) | Solutions | Comments |
13 Sept. | Modulation-schemes, PAM, Matched Filter, AWGN | Exercise 1 (20 Sept.) | |||
15 Sept. | Nearest Neighbor decoding, detection in AWGN, probability of error | ||||
20 Sept. | Probability of error, MAP, ML, QAM | Exercise 2 (27 Sept.) | |||
22 Sept. | QAM, CAP, square constellation QAM, PSD | Solutions 1 | |||
27 Sept. | PSD, BPSK, QPSK | Exercise 3 (4 Oct.) | |||
29 Sept. | M-ary PSK, BFSK, MSK | Solutions 2 | |||
4 Oct. | MSK, PCM, GMSK, M-ary FSK | Exercise 4 (11 Oct.) | |||
6 Oct. | Non-coherent detection, voiceband modems | Solutions 3 | |||
11 Oct. | Voiceband modems, multichannel modulation, discrete multitone | Exercise 5 (18 Oct.) | |||
13 Oct. | OFDM, synchronization | Solutions 4 | |||
18 Oct. | synchronization, introduction to spread spectrum, pseudo-noise sequences | Exercise 6 (25 Oct.) | |||
20 Oct. | direct sequence spread spectrum | Solutions 5 | |||
25 Oct. | direct sequence spread spectrum, frequency hopping spread spectrum, multiple access techniques, free space propagation model | Exercise 7 (1 Nov.) | |||
27 Oct. | noise figure, radio link analysis, wireless communications, propagation effects | Solutions 6 | |||
1 Nov. | propagation effects & classification of wireless communication systems | Exercise 8 (15 Nov.) | |||
3 Nov. | diversity | Solutions 7 | |||
8 Nov. | Midterm Exam | ----- | |||
10 Nov. | time diversity | Solutions Midterm Exam |
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15 Nov. | time diversity, frequency diversity, speech coding | Exercise 9 (22 Nov.) | |||
17 Nov. | speech coding: PCM, DPCM, DM, spectral waveform coding | Solutions 8 | |||
22 Nov. | speech coding: model-based coding, univariate Gaussian random variables, positive semi-definite matrices | Gaussian Distribution | Exercise 10 (29 Nov.) | ||
24 Nov. | multivariate Gaussians | Solutions 9 | |||
29 Nov. | multivariate Gaussians, Shannon's measure of information: entropy | Exercise 11 (6 Dec.) | |||
1 Dec. | conditional entropy, mutual information, relative entropy, efficient coding of a single random variable | Solutions 10 | |||
6 Dec. | coding theorem for a single random variable, Shannon-Fano coding, Huffman coding, unique decodability (McMillan) | Exercise 12 (13 Dec.) | |||
8 Dec. | coding of an information source, universal source coding: Lempel-Ziv, channel coding | Solutions 11 | |||
13 Dec. | Fano's lemma, Markov chains & data processing inequality | Exercise 13 (20 Dec.) | |||
15 Dec. | Noisy coding theorem for DMC, computing capacity of DMC | Solutions 12 | |||
20 Dec. | differential entropy, noisy coding theorem for AWGN channel, parallel Gaussian channels | Exercise 14 (27 Dec.) | |||
22 Dec. | error-control coding: block codes: Hamming distance & weight, minimum distance, error correction & detection, linear block codes | Solutions 13 | |||
27 Dec. | weight enumerator, parity-check matrix, syndrome and syndrome decoder, cyclic codes | Exercise 15 (3 Jan.) | |||
29 Dec. | cyclic codes, convolutional codes: tree codes | Solutions 14 | |||
3 Jan. | trellis code, Viterbi algorithm, metric for Viterbi algorithm, source-channel coding theorem, trellis-coded modulation | Exercise 16 (5 Jan.) | |||
5 Jan. | turbo codes, LDPC codes | Solutions 15, Solutions 16 |
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10 Jan. | Final Exam | ----- | |||
12 Jan. | Discussion of final exam |
The lecture will be held in English.
-||- _|_ _|_ / __|__ Stefan M. Moser
[-] --__|__ /__\ /__ Senior Scientist, ETH Zurich, Switzerland
_|_ -- --|- _ / / Adjunct Professor, National Yang Ming Chiao Tung University, Taiwan
/ \ [] \| |_| / \/ Web: https://moser-isi.ethz.ch/