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Contact Information
Phone: +1 510 643 9352
Fax: +1 510 643 7846
Email: x@y with
x = alyson
y=eecs DOT berkeley DOT edu
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Alyson K. Fletcher
Allie
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I received and M.S. and Ph.D. from the University of California at Berkeley in the Department of Electrical Engineering and Computer Science. I also received master's degree in Mathematics from the in the UC Berkeley Department of Mathematics For my doctoral dissertation, I worked with Professor Kannan Ramchandran in the Wireless Foundations Research Center.
My research has been supported by a President's Postdoctoral Fellowship, an National Science Foundation Graduate
Fellowship, the Henry Luce Foundation, Soroptimist International,
and Sigma Xi.
Doctoral Dissertation: Electrical Engineering, University of California, Berkeley, January 2006.
A Jump Linear Framework for Estimation and Robust
Communication with Markovian Source and Channel Dynamics
Master's Thesis: Mathematics, University of California, Berkeley, May 2005.
Estimation via Sparse Approximation: Error Bounds and Random Frame Analysis
Master's Thesis: Electrical Engineering, University of California, Berkeley, May 2002.
Denoising via Recursive Wavelet Thresholding
A. K. Fletcher, S. Rangan, L. Varshney, A. Bhargava, Neural Reconstruction with Approximate Message Passing (NeuRAMP) 25th Ann. Conf. Neural Information Processing Systems 2011 (Granada, Spain, December 13--15) [Acceptance rate: 305/1400 = 22%. ]
A.K. Fletcher and S. Rangan, Orthogonal Matching Pursuit from Noisy Random Measurements: A New Analysis, Proc. Neural Information Processing Systems Conf. 2009 (Vancouver, Canada, December 7-10). [Acceptance rate of 24%. Spotlight paper, top 8%.]
S. Rangan, A. K. Fletcher, and V. K. Goyal, Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing, Proc. Neural Information Processing Systems Conf. 2009 (Vancouver, Canada, December 7-10). [Acceptance rate of 24%. Spotlight paper, top 8%.]
A. K. Fletcher, S. Rangan, and V. K. Goyal, Resolution Limits of Sparse Coding in High Dimensions, Proc. 22nd Ann. Conf. Neural Information Processing Systems, NIPS 2008. [ *Acceptance rate: 250/1022 = 24%].
A. K. Fletcher, S. Rangan, and V. K. Goyal, Estimation from Lossy Sensor Data: Jump Linear Modeling and LMI Analysis, Proc. ACM/IEEE Int. Conf. Information Processing in Sensor Networks 2004 (Berkeley, CA, April 26-27), pp. 251-258. [Acceptance rate oral presentation: 25/145=17%.]
S. Rangan, A. K. Fletcher, and P. Schniter, Hybrid Approximate Message Passing with Applications to Structured Sparsity submitted IEE Trans. Information Theory June 2012; available as arXiv:1111.2581.
A. K. Fletcher, S. Rangan, and V. K. Goyal, Ranked Sparse Signal Support Detection, in revision IEEE Trans. Signal Processing.
A. K. Fletcher, S. Rangan and V. K. Goyal, On-Off Random Access Channels: A Compressed Sensing Framework, in revision, IEEE Trans. Information Theory; available as arXiv:0903.1022.
A. K. Fletcher and S. Rangan, Orthogonal Matching Pursuit: A Brownian Motion Analysis IEEE Trans. Signal Processing, vol. 60, no. 3, pp. 1010, March 2012.
S. Rangan, A. K. Fletcher, and V. K. Goyal, Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing, IEEE Trans. Information Theory, vol. 58, no. 3, 22 pages, March 2012.
A. K. Fletcher, S. Rangan, and V. K. Goyal, Necessary and Sufficient Conditions on Sparsity Recovery, IEEE Trans. Information Theory, 55(12):5758-5772, December 2009.
V. K. Goyal, A. K. Fletcher, and S. Rangan, Compressive Sampling and Lossy Compression, IEEE Signal Processing Magazine, 25(2):48-56, March 2008.
V. K. Goyal, A. K. Fletcher, and S. Rangan, Distributed Coding of Sparse Signals, chapter in Distributed Source Coding: Theory, Algorithms, and Applications, P. L. Dragotti and M. Gastpar eds., Academic Press, 2009.
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Robust Predictive Quantization: Analysis and Design via Convex Optimization, IEEE J. Selected Topics in Signal Processing, 1(4):618-632, December 2007.
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory, EURASIP J. Applied Signal Processing, Special Issue on Frames and Overcomplete Representations, vol. 2006, March 2006.
*A.K. Fletcher, S. Rangan, J. Viventi, Learning Dynamical Models of Epileptic Seizures from High-Density in vivo Recordings, in preparation for J. Neuroscience.
*A. K. Fletcher, S. Rangan, L. R. Varshney, and A. Bhargava, Message Passing Techniques in Neural Estimation,, in preparation for Neuron.
* A. K. Fletcher, D. S. Weller, V. K. Goyal, and E. Adalsteinsson, Multi-Coil MRI Reconstruction via Bilinear Optimization, in preparation for IEEE Trans. Med. Imaging.
*A. K. Fletcher and M. Vetterli, On Multiple-Observation Denoising with Threshold Operators, in preparation for IEEE Signal Processing Letters.
A. K. Fletcher and S. Rangan, Iterative Estimation of Constrained Rank-One Matrices in Noise, submitted February 2012.
S. Rangan, A.K. Fletcher, P. Schniter, Hybrid Generalized Approximate Message Passing with Applications to Structured Sparsity, submitted to ISIT 2012.
S. Rangan, A. K. Fletcher, and V. K. Goyal, Extensions of Replica Analysis to MAP Estimation with Applications to Compressed Sensing, Proc. IEEE Int. Symp. Information Theory 2010 (Austin, TX, June 12-18), pp. 1543-1547.
A. K. Fletcher, S. Rangan, and V. K. Goyal, Random Access Channels: A Compressed Sensing Framework Proc. Wavelets XIII, SPIE Optics & Photonics 2009. (invited)
A. K. Fletcher, S. Rangan and V. K. Goyal, A Sparsity Detection Framework for On-Off Random Access Channels, Proc. IEEE Int. Symp. Information Theory 2009 (Seoul, South Korea, June 28-July 3), pp. 169-173.
A. K. Fletcher, S. Rangan, and V. K. Goyal, On Subspace Structure in Source and Channel Coding, Proc. IEEE Int. Symp. Information Theory 2008 (Toronto, Canada, July 6-11), pp. 1982-1986.
A. K. Fletcher, S. Rangan, and V. K. Goyal, Rate-Distortion Bounds for Sparse Approximation, Proc. IEEE Workshop on Statistical Signal Processing 2007 (Madison, WI, August 26-29), pp. 254-258.
A. K. Fletcher, S. Rangan, and V. K. Goyal, On the Rate-Distortion Performance of Compressed Sensing, Proc. IEEE Int. Conf. Acoustics, Speech, & Signal Processing 2007 (Honolulu, HI, April 15-20), vol. III, pp. 885-888.
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Causal and Strictly Causal Estimation for Jump Linear Systems: An LMI Analysis, Proc. Conf. Information Sciences & Systems 2006 (Princeton, NJ, March 22-24), pp. 1302-1307.
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Analysis of Denoising by Sparse Approximation with Random Frame Asymptotics, Proc. IEEE Int. Symp. on Information Theory 2005 (Adelaide, September 4-9), pp. 1706-1710.
A. K. Fletcher, S. Rangan, and V. K. Goyal, Sparse Approximation, Denoising, and Large Random Frames, Proc. Wavelets XI, part of SPIE Optics & Photonics 2005 (San Diego, CA, July 31-August 4), vol. 5914, pp. 172-181.
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran Optimized Filtering and Reconstruction in Predictive Quantization with Losses, Proc. IEEE Int. Conf. Image Processing 2004 (Singapore, October 24-27), vol. 5, pp. 3245-3248.
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Robust Predictive Quantization: A New Design and Optimization Methodology, Proc. IEEE Int. Symp. Information Theory 2004 (Chicago, IL, June 27-July 2), p. 427.
A. K. Fletcher, V. K. Goyal, and K. Ramchandran, On Multivariate Estimation by Thresholding, Proc. IEEE Int. Conf. Image Processing 2003 (Barcelona, Spain, September 14-17), vol. 1, pp. 61-64.
A. K. Fletcher and K. Ramchandran, Estimation Error Bounds for Denoising by Sparse Approximation, Proc. IEEE Int. Conf. Image Processing 2003 (Barcelona, Spain, September 14-17), vol. 1, pp. 113-116.
A. K. Fletcher, V. K. Goyal, and K. Ramchandran, Iterative Projective Wavelet Methods for Denoising, Proc. Wavelets X: Applications in Signal & Image Processing, part of SPIE Int. Symp. on Optical Science & Technology 2003 (San Diego, CA, August 3-8), vol. 5207, pp. 9-15.
A. K. Fletcher and K. Ramchandran, Estimation Error Bounds for Frame Denoising, Proc. Wavelets X: Applications in Signal & Image Processing, part of SPIE Int. Symp. on Optical Science & Technology 2003 (San Diego, CA, August 3-8), vol. 5207, pp. 40-46.
A. K. Fletcher, K. Ramchandran, and V. K. Goyal, Wavelet Denoising by Recursive Cycle Spinning, Proc. IEEE Int. Conf. Image Processing 2002 (Rochester, NY, September 22-25), vol. 2, pp. 873-876.
Neural Connectivity and Receptive Field Estimation via Hybrid Message Passing, Mathematical Biology Seminar, University of California, Davis, March 16, 2012.
Neural Connectivity and Receptive Field Estimation via Hybrid Message Passing, Information Theory and Applications Workshop, University of California, San Diego, February 6, 2012.
Sparsity: Algorithms and Applications in Neuroscience, Applied Mathematics and Mathematical Biology Seminar, Claremont Graduate University, January 25, 2012.
Generalized Approximate Message Passing and Applications in Neural Receptive Field Estimation and Connectomics, Redwood Center for Theoretical Neuroscience, University of California, Berkleley, June 8, 2011. University of Michigan EECS Departmental Seminar, April 2009
DIMACS/DyDAn Working Group & Workshop on Streaming, Coding, and Compressive Sensing: Unifying Theory and Common Applications to Sparse Signal Data Analysis and Processing, March 25-27, 2009. Invited workshop speaker and invitation-only working group participant.
Random Access Channels and Sparsity Detection, University of California at San Diego Information Theory and Applications Workshop, February 8-13, 2009.
Frames for the Finite World: Sampling, coding, and quantization, American Institute for Mathematics, Workshop, August 18-22, 2008.
Banff International Research Station Workshop on Mentoring for Engineering Academia II, July 22-27, 2007 (invited participant), Banff, Alberta, Canada.
Compressed Sensing as a Source Coding Technique, 2007 von Neumann Symposium on Sparse Representation and High-Dimensional Geometry, July 8-12, 2007, Snowbird, UT.
On Encoding with a Codebook of Subspaces, University of California at San Diego Information Theory and Applications Workshop, January 29, 2007.
Rate-Distortion Performance of Sparse-Signal Coding with Random Measurements, SIAM Conference on Imaging Science, May 15, 2006, Minneapolis, MN.
University of California at San Diego Workshop on Information Theory and Its Applications, February 6-10, 2006 (invited participant).
Estimation and Robust Communication of Signals with Markovian Losses, Ecole Polytechnique Federale de Lausanne, Computer and Communication Sciences Department, July 14, 2005, Lausanne, Switzerland.
Estimation with Markovian Dynamics and Sparseness, University of California, Berkeley, Networking/Communication/DSP Seminar, April 20, 2005, Berkeley, CA.
UCLA Institute for Pure and Applied Mathematics (IPAM) Program on Multiscale Geometry and Analysis in High Dimensions, Fall 2004.
PAESMEM/Stanford School of Engineering Workshop on Mentoring in Engineering, June 21-22, 2004.
Sparseness from Redundancy: Denoising Methods and Bounds, University of Cambridge, Department of Engineering, Signal Processing Seminar, October 2, 2003, Cambridge, England.
Wavelet Denoising by Recursive Cycle Spinning, DIMACS Workshop on Source Coding and Harmonic Analysis, May 9, 2002, New Brunswick, NJ.