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IEEE transactions on signal processing, ISSN 1941-0476, 2014, Volume 62, Issue 12, pp. 3042 - 3054
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 12/2015, Volume 63, Issue 24, pp. 6510 - 6523
Journal Article
IEEE transactions on signal processing, ISSN 1941-0476, 2013, Volume 61, Issue 7, pp. 1644 - 1656
Journal Article
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 05/2012, Volume 60, Issue 5, pp. 2247 - 2259
Journal Article
SIAM Journal on Matrix Analysis and Applications, ISSN 0895-4798, 2011, Volume 32, Issue 2, pp. 364 - 384
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2009, Volume 7446
We propose a design procedure for the real, equal-norm, lapped tight frame transforms (LTFTs). These transforms have been recently proposed as both a redundant... 
Frames | DFT | Lapped transform | Paraunitary | Filter bank | Tight frames | Bases | Wavelet | Harmonics | Construction | Nucleation | Filter banks | Transforms | Redundant
Conference Proceeding
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 05/2014, pp. 1080 - 1084
We propose a new framework for distributed computation of average consensus. The presented framework leads to a systematic design of iterative algorithms that... 
Symmetric matrices | Signal processing algorithms | graph filters | Signal processing | Approximation algorithms | distributed average | Polynomials | Eigenvalues and eigenfunctions | Consensus | Convergence | network
Conference Proceeding
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, ISSN 1520-6149, 05/2013, pp. 6167 - 6170
We propose a novel discrete signal processing framework for the representation and analysis of datasets with complex structure. Such datasets arise in many... 
Image edge detection | Time series analysis | Discrete Fourier transforms | graph filter | graph signal | Digital signal processing | graph Fourier transform | generalized eigenvectors | graph spectrum | Matrix decomposition | Graph signal processing | sparse representation
Conference Proceeding
Applied and Numerical Harmonic Analysis, ISSN 2296-5009, 2015, Issue 9783319201870, pp. 245 - 259
Journal Article
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, ISSN 1520-6149, 05/2013, pp. 6163 - 6166
We propose a novel discrete signal processing framework for structured datasets that arise from social, economic, biological, and physical networks. Our... 
Economics | Accuracy | structured data | Time series analysis | graph filter | graph signal | data classification | Digital signal processing | label propagation | Polynomials | Vectors | Graph signal processing
Conference Proceeding
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 12/2014, pp. 872 - 876
Signal recovery from noisy measurements is an important task that arises in many areas of signal processing. In this paper, we consider this problem for... 
Temperature measurement | Signal denoising | Noise measurement | Sparse matrices | Noise reduction | Noise
Conference Proceeding
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2015, Volume 2015-, pp. 3392 - 3396
We propose a sampling theory for finite-dimensional vectors with a generalized bandwidth restriction, which follows the same paradigm of the classical sampling... 
Bridges | Interpolation | Sampling theory | discrete signal processing on graphs | Discrete Fourier transforms | Bandwidth | Signal processing | Approximation | Conferences | Mathematical analysis | Band theory | Graphs | Sampling | Recovery
Conference Proceeding
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2015, Volume 2015-, pp. 3731 - 3735
We present a distributed and decentralized algorithm for graph signal inpainting. The previous work obtained a closed-form solution with matrix inversion. In... 
Closed-form solutions | Blogs | Signal processing | Signal processing on graphs | Minimization | graph signal inpainting | Distributed algorithms | distributed computing | Convergence | Meteorology | Algorithms | Conferences | Mathematical analysis | Classification | Exact solutions | Graphs | Mathematical models
Conference Proceeding
2013 IEEE Global Conference on Signal and Information Processing, 12/2013, pp. 495 - 498
We present a novel data classifier that is based on the regularization of graph signals. Our approach is based on the theory of discrete signal processing on... 
Laplace equations | graph shift | Time series analysis | regularization | Vectors | classification | Discrete signal processing on graphs | Support vector machines | Accuracy | Neural networks | graph signal | Signal processing | total variation on graphs | Total variation on graphs | Graph shift | Graph signal | Regularization | Classification | Classifiers | Data processing | Graphs | Labels
Conference Proceeding
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2014, Volume 9091
Conference Proceeding
07/2013
Signals and datasets that arise in physical and engineering applications, as well as social, genetics, biomolecular, and many other domains, are becoming... 
Journal Article
06/2013
Block tridiagonal matrices arise in applied mathematics, physics, and signal processing. Many applications require knowledge of eigenvalues and eigenvectors of... 
Mathematics - Spectral Theory
Journal Article
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