2010 Asilomar Conference on Signals, Systems, and Computers

Woohoo! My paper (“Cyclic Matching Pursuits with Multiscale Time-frequency Dictionaries” with Mads G. Christensen) has been accepted to the 2010 Asilomar Conference on Signals, Systems, and Computers. The following papers are others at this conference with titles that spark my interest.

  1. Adaptive Estimation of Sparse Signals using the Method of Multipliers Daniele Angelosante, Georgios B. Giannakis, University of Minnesota Implementation
  2. Low Complexity Projection-based Adaptive Algorithm for Sparse System Identification and Signal Reconstruction Konstantinos Slavakis, University of Peloponnese; Sergios Theodoridis, University of Athens; Isao Yamada, Tokyo Institute of Technology
  3. Implementation of Greedy Algorithms for LTE Sparse Channel Estimation Patrick Maechler, Pierre Greisen, Benjamin Sporrer, Sebastian Steiner, Norbert Felber, Andreas Burg, ETH Zurich
  4. Speech/Audio Indexing and Retrieval: Improving Precision Marsal Gavaldà, Nexidia Inc; Mark Clements, Georgia Institute of Technology; Robert Morris, Maria Koulikov, Peter Cardillo, Jon Arrowood, Nexidia Inc
  5. A MAP Criterion for Detecting the Number of Speakers at Frame Level in Model-based Single-Channel Speech Separation Pejman Mowlaee, Mads Græsbøll Christensen, Zheng- Hua Tan, Søren Holdt Jensen, Aalborg University
  6. Auditory Motivated Analysis Based Speech enhancement Novlene Zoghlami, Zied Lachiri, ENIT
  7. Time-Scale Modification of Audio Signals Using Multi-Relative Onset Time Estimations in Sinusoidal Transform Coding Jonathan Kim, Mark Clements, Georgia Institute of Technology
  8. On the Role of the Properties of the Non-zero Entries on Sparse Signal Recovery Y. Jin, Bhaskar D. Rao, University of California, San Diego Sarang Joshi, University of Utah
  9. Exact Reconstruction Conditions and Error Bounds for Regularized Modified Basis Pursuit (Reg-Modified-BP) Wei Lu, Namrata Vaswani, Iowa State University
  10. Sparse Signal Recovery with Dynamic Update of Overcomplete Dictionary M. Salman Asif, Justin Romberg, Georgia Institute of Technology
  11. Robust Layered Sensing: From Sparse Signals to Sparse Residuals Vassilis Kekatos, Georgios B. Giannakis, University of Minnesota
  12. Tracking and Smoothing of Time-Varying Sparse Signals via Approximate Belief Propagation Justin Ziniel, Lee C. Potter, Philip Schniter, Ohio State University
  13. Localization Based on Source Sparsity Petros Boufounos, Mitsubishi Electric Research Labs; Bhiksha Raj, Carnegie Mellon University
  14. Statistical Spectral Analysis of Random Gramian Matrices Davide Macagnano, Giuseppe Thadeu Freitas de Abreu, Centre for Wireless Communications, University of Oulu
  15. Prediction of Biologically Active Regions in Protein Sequences via Best Basis Selection Ravi Narasimhan, Applied Micro Circuits Corporation
  16. Modeling of the Beat of a Cardiac Signal by Gaussians Malika Kedir, Hafid Hariz, Saliha Ould-Slimane, University of Sciences and Technology Houari Boumediene (USTHB)
  17. Sparsity-Cognizant Subspace Tracking for Dimensionality Reduction Ioannis Schizas, Georgios B. Giannakis, University of Minnesota
  18. Matching Pursuits May Yield Superior Results to Orthogonal Matching Pursuits When Secondary Information is Estimated From the Signal Model Guifeng (Rick) Liu, Victor DeBrunner, Florida State University
  19. A Unified FOCUSS Framework for Learning Sparse Dictionaries and Non-squared Error Brandon Burdge, Kenneth Kreutz-Delgado, Joseph Murray, University of California, San Diego

That’s a lot of reading!


Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s