ECE 941 Digital Signal Processing

Spring 2011

Announcements

General information:

  • Office hours: By appointment (email andrew DOT kun AT unh DOT edu)
  • Here is the spring 2011 syllabus.

Assignments

When emailing the instructor about an assignment insert the tag indicated in the table below in the email subject. Untagged email may not be processed in a timely fashion.

 

upcoming
past

Assignment Date assigned Due date Tag
Read chapters 1 and 2 completely (these are both overview chapters) and review basic concepts from linear DSP as listed as "prerequisites by topic" in the syllabus. 01/25/11 02/01/11  
Read chapter 3 through (and including) the "Mixture Gaussian Process" section. You can skip "Information Models" if this is in your book. 02/01/11 02/08/11  
Read chapter 4: 4.1 and 4.2 02/01/11 02/08/11  
Homework #1 02/01/11 02/08/11 ece941_a1
Homework #2 02/08/11 02/15/11 ece941_a2
Read chapter 5: 5.1-5.3.2 (Baum-Welch), 5.4 (Viterbi) 02/10/11 02/22/11  
Homework #3 02/22/11 02/22/11 ece941_a3
Read chapter 6 (Wiener filters) 02/17/11 03/01/11  
Homework #4 02/22/11 03/01/11 ece941_a4
Read chapter 7, sections on: sample-adaptive filters, RLS, steepest descent, LMS 02/24/11 03/01/11  
Read chapter 8: 8.1 (LPC), 8.2 (forward, backward, lattice predictors) 02/24/11 03/03/11  
Homework #4b 03/01/11 03/08/11 ece941_a4b
Homework #5 03/16/11 03/24/11 ece941_a5
Read chapter 9: 9.1-9.5 03/31/11 04/05/11  
Read chapter 10 03/31/11 04/12/11  
Homework #6 04/07/11 04/14/11 ece941_a6
Read chapter 12 (sections 12.1, 12.3, 12.4, 12.6) 04/12/11 04/19/11  
Read chapter 13 04/12/11 04/19/11  
Read chapter 11 04/12/11 04/21/11  
Homework #7 04/14/11 04/21/11 ece941_a7
Read chapter 14 04/21/11 05/05/11  
Read chapter 15: 15.1 (introduction), 15.5 (blind equalization) 04/21/11 05/05/11  
Homework #8 04/21/11 05/05/11 ece941_a8

Lecture notes

Lecture Lecture date
DSP review 01/25/11
DSP review, probability review 01/27/11
Probability review, Bayesian estimation 02/01/11
Bayesian estimation 02/03/11
Bayesian estimation - influence of prior 02/08/11
Bayesian estimation - influence of prior and observation 02/10/11
Bayesian estimation for discrete valued parameters, HW 3 02/15/11
Markov models 02/17/11
Training Markov models 02/22/11
Wiener filters 02/24/11
Wiener filters in the frequency domain 03/01/11
Review 03/03/11
Adaptive filters 03/03/11
LMS algorithm 03/08/11
Linear prediction 03/31/11
Spectral estimation 04/05/11
Model-based spectral estimation 04/07/11
Interpolation (changing sampling rate, polynomial, basis function) 04/12/11
Interpolation (LSAR, FFT-based) 04/14/11
Removing impulse noise 04/19/11
Spectral subtraction, echo cancellation 04/21/11
Channel equalization 05/03/11
Final review 05/05/11