Results 31 to 40 of about 1,669,292 (291)

Sparse representations in audio & music: from coding to source separation [PDF]

, 2010
—Sparse representations have proved a powerful toolin the analysis and processing of audio signals and already lieat the heart of popular coding standards such as MP3 andDolby AAC.
Davies, ME, Gribonval, R, Daudet, Laurent, Plumbley, MD, Davies, M.E.; id_orcid, Daudet, L., Blumensath, T., Plumbley, Mark D., Gribonval, Rémi, Davies, Mike E., Plumbley, M.D., Blumensath, Thomas, Gribonval, R., Blumensath, T, Daudet, L, Davies, M.E.   +15 more
core   +1 more source

Block-Sparse Tensor Recovery [PDF]

IEEE Transactions on Information Theory
Accepted by IEEE Transactions on Information ...
Liyang Lu, Zhaocheng Wang 0001, Zhen Gao 0001, Sheng Chen 0001, H. Vincent Poor   +4 more
openaire   +5 more sources

A Space-time Adaptive Processing Algorithm Based on Joint Sparse Recovery

Leida xuebao, 2014
Sparse recovery Space-Time Adaptive Processing (STAP) methods for obtaining the clutter spectrum require few training samples and can effectively suppress clutter in nonhomogeneous clutter environments.
Duan Ke-qing, Wang Ze-tao, Xie Wen-chong, Gao Fei, Wang Yong-liang   +4 more
doaj   +1 more source

Group polytope faces pursuit for recovery of block-sparse signals [PDF]

, 2012
This is the accepted version of the article. The final publication is available at link.springer.com.
Gretsistas, A, Plumbley, MD, Mark D. Plumbley, Aris Gretsistas   +3 more
core   +1 more source

Channel Training & Estimation for Reconfigurable Intelligent Surfaces: Exposition of Principles, Approaches, and Open Problems

IEEE Access, 2023
Reconfigurable intelligent surfaces (RIS) are passive controllable arrays of small reflectors that direct electromagnetic energy towards or away from the target nodes, thereby allowing better management of signals and interference in a wireless network ...
Bharath Shamasundar, Negar Daryanavardan, Aria Nosratinia   +2 more
doaj   +1 more source

Recovery of sparse urban greenhouse gas emissions [PDF]

Geoscientific Model Development, 2022
To localize and quantify greenhouse gas emissions from cities, gas concentrations are typically measured at a small number of sites and then linked to emission fluxes using atmospheric transport models. Solving this inverse problem is challenging because
B. Zanger, B. Zanger, J. Chen, M. Sun, F. Dietrich   +4 more
doaj   +1 more source

Sequential Testing for Sparse Recovery [PDF]

IEEE Transactions on Information Theory, 2014
This paper studies sequential methods for recovery of sparse signals in high dimensions. When compared to fixed sample size procedures, in the sparse setting, sequential methods can result in a large reduction in the number of samples needed for reliable signal support recovery.
Matthew Malloy, Robert D. Nowak
openaire   +3 more sources

Iterative thresholding for sparse approximations [PDF]

, 2008
Sparse signal expansions represent or approximate a signal using a small number of elements from a large collection of elementary waveforms. Finding the optimal sparse expansion is known to be NP hard in general and non-optimal strategies such as ...
Blumensath, T., Davies, Mike E., Blumensath, Thomas, Davies, Michael; id_orcid   +3 more
core   +1 more source

Learning incoherent dictionaries for sparse approximation using iterative projections and rotations [PDF]

, 2013
This work was supported by the Queen Mary University of London School Studentship, the EU FET-Open project FP7- ICT-225913-SMALL. Sparse Models, Algorithms and Learning for Large-scale data and a Leadership Fellowship from the UK Engineering and ...
Plumbley, Mark, Barchiesi, Daniele
core   +3 more sources

On the Power of Adaptivity in Sparse Recovery [PDF]

2011 IEEE 52nd Annual Symposium on Foundations of Computer Science, 2011
The goal of (stable) sparse recovery is to recover a $k$-sparse approximation $x*$ of a vector $x$ from linear measurements of $x$. Specifically, the goal is to recover $x*$ such that ||x-x*||_p <= C min_{k-sparse x'} ||x-x'||_q for some constant $C$ and norm parameters $p$ and $q$.
Indyk, Piotr, Price, Eric C., Woodruff, David P.   +2 more
openaire   +4 more sources