Lecture

Week 1 (Jan 14)

Lecture 1: Notes; Introduction to digital communications systems and their performance metrics, handout on structure of digital communications systems, DCS block Diagram

Lecture 2: Line codes and pulse modulation, Power spectral density and bandwidth, Pulse shaping

	Notes
	handout bandwidth (page1 and page 2)
	Pictures for in-class activities 1 and 2

Week 2 (Jan 21)

Lecture 3: M-ary communications, E_b/N_o, assessing system performance

	Notes;
	In-class activities diagrams 1 and 2
	802.11a signaling patterns; relationship between symbol alphabet and data rate

Lecture 4: Digital Receivers and their structure, Intersymbol interference(ISI), (Lathi 7.3,7.8)

Notes;

Week 3 (Jan 28)

Lecture 5: Phasor representation, decision surfaces, basics of probability

	Phasor Representation Handout
	Notes
	Basic probability and set theory

Lecture 6:

	No Notes for this lecture
	Conditional probability
	Independent Events
	Bayes Rule

Week 4 (Feb 4)

Lecture 7:

	Notes;
	Axioms of probability
	Random variables
	Probability distribution functions and cumulative distribution functions
	Quiz 1

Lecture 8:

	Expected values and moments
	Examples
	Conditional probability distributions

Week 5 (Feb 11)

Lecture 9: Notes;

	P_E Calculations
	Conditional and joint probabilities and moments
	Multivariate Gaussian distributions

Lecture 10: Notes;

Central limit theorem

Correlation and matched filters

Week 6 (Feb 18)

Lecture 11: Notes;

	Transformations of random variables
	Dart board problem (rayleigh distributions)
	Examples of transformations

Lecture 12: Notes;

	Introduction to Random Processes
	Autocorrelation
	Power Spectral Densities

Week 7 (Feb 25)

Lecture 13: Notes;

	Power spectral densities
	Transmission of random processes through linear systems

Lecture 14: Notes;

	Quiz 2
	Equivalent noise bandwidth
	Calculating signal to noise ration

Week 8 (March 4)

Lecture 15: Notes;

	Review of quiz 2 solutions
	Bandpass random processes (11.5)
	Introduction to optimal detection systems (13.1)

Lecture 16: Notes;

	Introduction to optimal detection systems, Matched filters (13.1)
	Optimal binary receivers and the effect of signaling encoding (13.2)

Week 9 (March 11)

Lecture 17: Notes;

	Performance of different carrier types (13.3)
	Optimal binary receivers and the effect of signaling encoding (13.2)

Lecture 18: Notes;

	Quiz 3- will cover chapter 11, random processes, WSS, PSD
	Introduction to spread spectrum concepts

Next week is spring break

Week 10 (March 25)

Lecture 19: Notes;


	Performance of spread spectrum systems

Lecture 20:

	Student presentations, introducing their web pages

Week 11 (April 1)

	Lecture 21: Student presentations,
	Lecture 22: Student presentations,
	Notes;

Week 12 (April 8)

Lecture 23: Notes;

Performance of different carrier types in coherent systems (13.3)

Lecture 24: Notes;

	Noncoherent carrier systems performance
	Review of quiz 3 material
	M-ary communication systems
	MASK system performance

Week 13 (April 15)

Lecture 25: Notes;

	MPSK, OQPSK
	MASK

Lecture 26: Notes;

	QAM and system comparisons
	channel capacity
	Multitone and GMSK systems
	Notes on link between OQPSK, MSK and GMSK. From University of Hull in England.

Week 14 (April 22)

Lecture 27: Notes;

Coding what and why

Source coding

	Huffman codes
	Liv-Zempel Coding

Grade homework assignment

Lecture 28: Notes;

Quiz 4 (the last one)

Channel Coding

	Hamming Distance
	Error Correcting and detecting codes

Week 15 (April 29)

	Lecture 29: Notes;
	Convolutional codes
	Viterbi Decoding

	Lecture 30: Notes;
	No lecture, all material is finished.

Page last updated 04/30/02