Principles of Digital Communication I

Calendar

SES #	TOPICS	KEY DATES
1	Introduction: A layered view of digital communication
2	Discrete source encoding	Problem set 1 out
3	Memory-less sources, prefix free codes, and entropy
4	Entropy and asymptotic equipartition property	Problem set 1 due and problem set 2 out
5	Markov sources and Lempel-Ziv universal codes
6	Quantization, high-rate quantizers, and waveform encoding	Problem set 2 due and problem set 3 out
7	Fourier series and Fourier transforms
8	Measure	Problem set 3 due and problem set 4 out
9	Discrete-time Fourier transforms and sampling theorem
10	Degrees of freedom, orthonormal expansions, and aliasing	Problem set 4 due and problem set 5 out
11	Signal space, projection theorem, and modulation
12	Nyquist theory, pulse amplitude modulation (PAM), quadrature amplitude modulation (QAM), and frequency translation	Problem set 5 due
	Midterm
13	Random processes	Problem set 6 out
14	Jointly Gaussian random vectors and processes and white Gaussian noise (WGN)
15	Linear functionals and filtering of random processes	Problem set 6 due and problem set 7 out
16	Review; introduction to detection
17	Detection for random vectors and processes	Problem set 7 due and problem set 8 out
18	Theorem of irrelevance, M-ary detection, and coding	Problem set 8 due and problem set 9 out
19	Review of theorem of irrelevance and introduction to wireless communication
20	Introduction to wireless communication (cont.)	Problem set 9 due and problem set 10 out
21	Discrete-time baseband models for wireless channels
22	Doppler spread, time spread, coherence time, and coherence frequency	Problem set 10 due and problem set 11 out
23	Detection for flat Rayleigh fading and incoherent channels, and Rake receivers
24	Case study - Code Division Multiple Access (CDMA)
25	Review	Final exam taken 7 days after Ses #25