ENSC 815 - Multirate
Signal Processing
(Note: this course will soon be renamed as Subband and Sparse Signal Processing to reflect the current contents.)
Jie Liang
Course Description
This course covers the theory and applications of subband and sparse signal processing. Topics include:
- Subband signal processing (wavelet and filter bank).
- Sparse and redundant signal representations and reconstructions, such as compressed sensing.
- Llatest research topics.
Prerequisites
ENSC 429 or equivalent.
Mailing
List
The course will have a mailing list ensc-815-all@sfu.ca, which you will
be
able
to use to send
time-critical announcements to everyone in the class.
Grading Policy
Grading will be done according to the following scheme:
- Assignments: 15%
- Project: 25%
- Midterm exam: 25%
- Final
Exam: 35%
Plagiarism Issues:
Please review the following page on plagiarism when you work on your
project:
http://www.lib.sfu.ca/researchhelp/writing/plagiarism.htm
Pay attention to the following forms of plagiarism:
- Quoting material without proper use of
quotation
marks (even if otherwise cited appropriately)
- Using art, graphs, illustrations,
maps,
statistics, photographs, etc. without complete and proper citation
- Paraphrasing or summarizing
information from a
source without proper acknowledgment
You should state clearly in your report whether you have used any
source code from other people, and what modification you have made to
improve it, if any.
As in any other course, anyone caught cheating on the project report
will receive an automatic F.
References
There will be no required
text book
for this course. The main references are:
- P. P. Vaidyanathan, Multirate systems and filter banks,
Prentice Hall, 1992.
- M. Vetterli, J. Kovacevic, and V. Goyal,
"Foundations
of Signal Processing," and "Fourier and Wavelet Signal Processing,"
2013.
- M. Vetterli and J. Kovacevic, “Wavelets and
Subband Coding,” Prentice Hall, 1995.
- Stéphane Mallat.
A Wavelet Tour of Signal Processing: The Sparse Way, 3rd
ed. Academic Press, Dec. 2008.
- Michael Elad, Sparse and Redundant Representations
Other references:
- Fredric
J. Harris, Multirate Signal Processing for Communication Systems,
Prentice Hall, 2004.
Online
version (Accessible only from SFU campus)
- David S. Taubman, Michael W. Marcellin, JPEG2000: image compression
fundamentals, standards, and practice, Kluwer Academic
Publishers, Boston, 2002.
- G. Strang, T. Q. Nguyen, Wavelets and Filter Banks,
Wellesley-Cambridge Press, Wellesley, MA, 1997.
- S. Mallat, A Wavelet Tour of Signal Processing, Second
Edition, Academic Press, 1999.
- H. Malvar, Signal Processing with Lapped Transforms, Artech
House, 1992.
- John Woods, Multidimensional signal, image, and video
processing and coding, Academic Press, 2006.
Most of these books are reserved in the library.
Syllabus
The following is a brief synopsis of what will be covered in this
course. Note that this material is still evolving.
- Subband signal processing:
up-sampling, down-sampling, polyphase, perfect reconstruction, aliasing
cancellation, lattice
structure, lifting scheme, cosine modulation, etc.
- Wavelets:
orthogonality, biorthogonality, smoothness, vanishing moments,
continuous-time and discrete-time wavelet transform, wavelet packet,
complex wavelet
- Sparse and Redundant Signal Processing: Compressed sensing, dictionary-based learning, etc.
- Applications in speech, image, and video coding.
- Latest research topics in relevant fields.
