ENEE 698A: Communications and Signal Processing Seminar

Noise and Poor SNR Systems

Spring 2008
Last Updated 01/29/08

Course Information

Class T 5:00 - 6:00, CSI 2118
Web Site http://www.glue.umd.edu/~jzsimon/enee698a/
Testudo Info http://www.sis.umd.edu/bin/soc?crs=ENEE698a&sec=&term=200801
Instructor Jonathan Z. Simon
ECE Office AVW 2209
ECE Office Phone 301-405-3645
Bio office BPS 3227
Bio office phone 301-405-6812
Email jzsimon@umd.edu
URL http://www.isr.umd.edu/Labs/CSSL/simonlab/

Schedule

Date Speaker Paper Presented
01/29/08 Jonathan Simon (introduction)
02/05/08 Jonathan Simon K. Wiesenfeld and F. Moss, “Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs”, Nature 373, p. 33-36, 1995. (4 pages)

J. K. Douglass et al., “Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance”, Nature 365, p. 337-340, 1993. (3 pages)

(see also R. L. Batzey and P. Mohanty, “Coherent signal amplifcation in bistable nanomechanical oscillators by stochastic resonance”, Nature 473, p. 995-998, 2005. but will not be discussed)

02/12/08 Vishal Patel J. B. Gao et al., “Principal component analysis of 1/fα noise”, Physics Letters A, Volume 314, Issue 5-6, p. 392-400, 2003.
02/19/08 class is cancelled
02/26/08 Yongle Wu S. M. Kuo and D. R. Morgan, “Active noise control: a tutorial review”, Proceedings of the IEEE, vol.87, no.6, pp.943-973, Jun 1999.
Majid Mirbagheri R. Cepel et al., “Statistical Analysis and Computer Generation of Spatially Correlated Acoustic Noise”, J Nondestruct Eval, 26, p. 19-32, 2007.
03/04/08 class is cancelled
03/11/08 Arya Mazumdar R. M. Gray and T. G. Stockham, “Dithered Quantizers”, IEEE Trans Info Theory, 39, p. 805-812, 1993.
Nimish Sane R. A. Wannamaker et al., “A theory of nonsubtractive dither”, IEEE Trans Sig Proc, 48, p. 499-516, 2000.
03/18/08 Spring Break (no meeting)
03/25/08 Matteo Mischiati M. Bier, “Brownian ratchets in physics and biology”, Contemporary Physics, 38, p. 371-379, 1997.
Kevin Galloway L. P. Faucheux et al., “Optical Thermal Ratchet”, Phys. Rev. Lett., 74, p. 1504-1507, 1995.
04/01/08 Beibei Wang R. Tandra and A. Sahai, “SNR walls for feature detectors”, IEEE Int. Symp. DySpAN, p. 559-570, 2007.
Wenjun Lu R. A. Ulichney, “Dithering with blue noise”, Proc IEEE, 76, p. 56-79, 1988.
04/08/08 Avinash Varna R. M. Gray, “Quantization noise spectra”, IEEE Trans Info Theory, 36, p. 1220-1244, 1990.
Yongqiang Wang F. Biagini et al., “An introduction to white-noise theory and Malliavin calculus for fractional Brownian motion”, Proc R Soc Lond A, 460, p. 347-372, 2004.
04/15/08 class cancelled
 
04/22/08 Vishal Patel H-C. So et al., “On four suboptimal quadratic detectors for random signals”, IEICE Trans. Commun., Vol.E88-B, No.12 December 2005.
Ilya Chukhman J. . Collins et al., “Noise-enhanced human sensorimotor function”, IEEE Eng Med Biol Mag, 22, p. 76-83, 2003.
04/29/08 Serban Sabau P. C. Hansen and S. H. Jensen, “Prewhitening for rank-deficient noise in subspace methods for noise reduction”, IEEE Trans Sig Proc, Vol. 53, p. 3718-3726, 2005.
  Satinder Pal Singh F. Chapeau-Blondeau, “Noise-Enhanced Performance for an Optimal Bayesian Estimator”, IEEE Trans Sig Proc, Vol. 52, p. 1327-1334, 2004.
05/06/08 Gordon Rubin B. Friedlander and J. Francos, “Model based phase unwrapping of 2-D signals”, IEEE Trans Sig Proc, 44(12), p. 2999-3007, 1996.
(open)
05/13/08 Michael Powers L. Gammaitoni, “Stochastic resonance and the dithering effect in threshold physical systems”, Phys. Rev. E, 52, p. 4691, 1995.
Jiachen Zhuo W. J. Ma et al., “Neural variability due to Bayesian probablity calculations”, Nat Neurosci, 9, p. 1432-1438, 2006.

Format

The format of this class is “journal club style”. That is, students will take turns to lead discussion of a paper by the entire class. The paper will be chosen jointly by the presenting student and the instructor, on the broad topic of “Noise and Poor SNR Systems”.

Each paper will be presented and discussed for 25 minutes, allowing two papers to be discussed each class. The discussion leader should present slides to introduce the main topics of the paper. It is expected that every student will have read the paper before the discussion, but it is the discussion leader’s responsibility to ensure that discussion continues. In particular, the discussion leader is responsible for setting the groundwork for discussion of the paper by all attending, especially those not experts in the subject of the paper.


Grading

Grading is strictly Pass/Fail, based on presentation quality and participation.

I strongly encourage students to take the course for only one credit, but if an exception is granted by the instructor, the student must lead discussion of one paper for each credit they will receive for the class.


Paper choices

Please submit to me by Friday February 1: I will chose one of the two papers based on their general interest to the diverse class.

When you send me the paper, please send the citation, the abstract, and a link to the entire paper. If the paper does not exist in PDF or Postscript form, please arrange for me to see the paper (or scan it in and send me a link to the scanned paper–please do not email me an entire scanned paper).


Suggested topics

Several of these topics are good for more than one discussion, particularly if they are applicable to multiple areas (e.g. 1/f Noise, Stochastic Resonance).

Suggestions for papers

Articles should be of sufficiently general interest that everyone can read the paper and anyone can contribute to discussion (it doesn't look good if the presenter is the only one to contribute to the disucssion). Sound out your lab-mates and advisor and friends for papers of general interest.

Sometimes a general review article is easier to present, sometimes a paper addressing a specific example is easier to present.

Book chapters from collections of papers are also fine.

If you are truly at a loss, I have a short list of suggested papers in the topics of Stochastic Resonance, Robustness of Noise Reduction Techniques, 1/f Noise, Quantization Noise, and Phase Noise.


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