Imperial College London
Portrait Picture

DrWeiDai

Faculty of Engineering, Department of Electrical and Electronic Engineering

Senior Lecturer
 
 
 
//

Contact

 

+44 (0)20 7594 6333wei.dai1 Website

 
 
//

Location

 

811Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Publication Type
Year
to

88 results found

Stankovic I, Dai W, 2016, Reconstruction of Global Ozone Density Data using a Gradient-Descent Algorithm, 58th ELMAR International Symposium, Publisher: IEEE, Pages: 85-88, ISSN: 1334-2630

Conference paper

Zhou G, Dai W, 2016, An Approximate Message Passing Algorithm for Robust Face Recognition, 24th European Signal Processing Conference (EUSIPCO), Publisher: IEEE, Pages: 1262-1266, ISSN: 2076-1465

Conference paper

Lu Y, Dai W, 2016, Extended AMP Algorithm for Correlated Distributed Compressed Sensing Model, IEEE International Conference on Digital Signal Processing (DSP), Publisher: IEEE, Pages: 700-704

Conference paper

Wu J, Lu Y, Dai W, 2016, Off-grid Compressed Sensing for WiFi-based Passive Radar, 16th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Publisher: IEEE, Pages: 258-262, ISSN: 2162-7843

Conference paper

Ma Z, Dai W, Liu Y, Wang Xet al., 2016, GROUP SPARSE BAYESIAN LEARNING VIA EXACT AND FAST MARGINAL LIKELIHOOD MAXIMIZATION, 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, Pages: 4508-4512, ISSN: 1520-6149

Conference paper

Dong J, Wang W, Dai W, Plumbley MD, Han Z-F, Chambers Jet al., 2015, Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning, IEEE Transactions on Signal Processing, Vol: 64, Pages: 417-431, ISSN: 1941-0476

In this paper, we consider the dictionary learning problem for the sparse analysis model. A novel algorithm is proposed by adapting the simultaneous codeword optimization (SimCO) algorithm, based on the sparse synthesis model, to the sparse analysis model. This algorithm assumes that the analysis dictionary contains unit l2-norm atoms and learns the dictionary by optimization on manifolds. This framework allows multiple dictionary atoms to be updated simultaneously in each iteration. However, similar to several existing analysis dictionary learning algorithms, dictionaries learned by the proposed algorithm may contain similar atoms, leading to a degenerate (coherent) dictionary. To address this problem, we also consider restricting the coherence of the learned dictionary and propose Incoherent Analysis SimCO by introducing an atom decorrelation step following the update of the dictionary. We demonstrate the competitive performance of the proposed algorithms using experiments with synthetic data and image denoising as compared with existing algorithms.

Journal article

Pitaval R-A, Dai W, Tirkkonen O, 2015, Convergence of Gradient Descent for Low-Rank Matrix Approximation, IEEE Transactions on Information Theory, Vol: 61, Pages: 4451-4457, ISSN: 1557-9654

This paper provides a proof of global convergence of gradient search for low-rank matrix approximation. Such approximations have recently been of interest for large-scale problems, as well as for dictionary learning for sparse signal representations and matrix completion. The proof is based on the interpretation of the problem as an optimization on the Grassmann manifold and Fubiny-Study distance on this space.

Journal article

Gao X, Li X, Filos J, Dai Wet al., 2015, A Sequential Bayesian Algorithm for DOA Tracking in Time-Varying Environments, CHINESE JOURNAL OF ELECTRONICS, Vol: 24, Pages: 140-145, ISSN: 1022-4653

Journal article

Ding W, Yang F, Dai W, Song Jet al., 2015, Time-Frequency Joint Sparse Channel Estimation for MIMO-OFDM Systems, IEEE COMMUNICATIONS LETTERS, Vol: 19, Pages: 58-61, ISSN: 1089-7798

Journal article

Zhu X, Dai L, Dai W, Wang Z, Moonen Met al., 2015, Tracking A Dynamic Sparse Channel Via Differential Orthogonal Matching Pursuit, 34th IEEE Annual Military Communications Conference (MILCOM) on Leveraging Technology - The Joint Imperative, Publisher: IEEE, Pages: 792-797, ISSN: 2155-7578

Conference paper

Ding W, Lu Y, Yang F, Dai W, Song Jet al., 2015, Sparse Channel State Information Acquisition for Power Line Communications, IEEE International Conference on Communications (ICC), Publisher: IEEE, Pages: 746-751, ISSN: 1550-3607

Conference paper

Lu Y, Dai W, 2015, Improved AMP (IAMP) for Non-Ideal Measurement Matrices, 23rd European Signal Processing Conference (EUSIPCO), Publisher: IEEE, Pages: 1746-1750, ISSN: 2076-1465

Conference paper

Gao Z, Dai L, Dai W, Wang Zet al., 2015, Block Compressive Channel Estimation and Feedback for FDD Massive MIMO, 34th IEEE Conference on Computer Communications (INFOCOM), Publisher: IEEE, Pages: 49-50, ISSN: 2159-4228

Conference paper

Karseras E, Dai W, Dai L, Wang Zet al., 2015, Fast Variational Bayesian Learning for Channel Estimation with Prior Statistical Information, 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Publisher: IEEE, Pages: 470-474, ISSN: 2325-3789

Conference paper

Li P, Dai W, Meng H, Wang Xet al., 2015, On Recovery of Sparse Signals with Block Structures, IEEE International Symposium on Information Theory (ISIT), Publisher: IEEE, Pages: 546-550

Conference paper

Zhu X, Dai L, Gui G, Dai W, Wang Z, Adachi Fet al., 2015, Structured Matching Pursuit for Reconstruction of Dynamic Sparse Channels, IEEE Global Telecommunications Conference (GLOBECOM), Publisher: IEEE, ISSN: 2334-0983

Conference paper

Zhao X, Dai W, 2015, On Joint Recovery of Sparse Signals with Common Supports, IEEE International Symposium on Information Theory (ISIT), Publisher: IEEE, Pages: 541-545

Conference paper

Dong J, Wang W, Dai W, 2014, ANALYSIS SIMCO: A NEW ALGORITHM FOR ANALYSIS DICTIONARY LEARNING, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, ISSN: 1520-6149

Conference paper

Zhao X, Dai W, 2014, Power Allocation in Compressed Sensing of Non-uniformly Sparse Signals, IEEE International Symposium on Information Theory (ISIT), Publisher: IEEE, Pages: 231-235

Conference paper

Karseras E, Dai W, 2014, A FAST VARIATIONAL APPROACH FOR BAYESIAN COMPRESSIVE SENSING WITH INFORMATIVE PRIORS, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, ISSN: 1520-6149

Conference paper

Zhao X, Zhou G, Dai W, Wang Wet al., 2014, Blind Source Separation Based on Dictionary Learning: A Singularity-Aware Approach, BLIND SOURCE SEPARATION: ADVANCES IN THEORY, ALGORITHMS AND APPLICATIONS, Editors: Naik, Wang, Publisher: SPRINGER-VERLAG BERLIN, Pages: 39-59, ISBN: 978-3-642-55015-7

Book chapter

Dai W, Yueksel S, 2013, Observability of a Linear System Under Sparsity Constraints, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 58, Pages: 2372-2376, ISSN: 0018-9286

Journal article

Xu T, Wang W, Dai W, 2013, Sparse coding with adaptive dictionary learning for underdetermined blind speech separation, SPEECH COMMUNICATION, Vol: 55, Pages: 432-450, ISSN: 0167-6393

Journal article

Zhao X, Zhou G, Dai W, Xu T, Wang Wet al., 2013, JOINT IMAGE SEPARATION AND DICTIONARY LEARNING, 18th International Conference on Digital Signal Processing (DSP), Publisher: IEEE, ISSN: 1546-1874

Conference paper

Karseras E, Leung K, Dai W, 2013, HIERARCHICAL BAYESIAN KALMAN FILTERS FOR WIRELESS SENSOR NETWORKS, 21st European Signal Processing Conference (EUSIPCO), Publisher: IEEE

Conference paper

Karseras E, Leung K, Dai W, 2013, TRACKING DYNAMIC SPARSE SIGNALS USING HIERARCHICAL BAYESIAN KALMAN FILTERS, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Publisher: IEEE, Pages: 6546-6550, ISSN: 1520-6149

Conference paper

Zhao X, Zhou G, Dai W, 2013, SMOOTHED SIMCO FOR DICTIONARY LEARNING: HANDLING THE SINGULARITY ISSUE, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Publisher: IEEE, Pages: 3292-3296, ISSN: 1520-6149

Conference paper

Filos J, Karseras E, Dai W, Yan Set al., 2013, Tracking Dynamic Sparse Signals with Hierarchical Kalman Filters: A Case Study, 18th International Conference on Digital Signal Processing (DSP), Publisher: IEEE, ISSN: 1546-1874

Conference paper

Ahmad BI, Al-Ani M, Tarczynski A, Dai W, Ling Cet al., 2013, COMPRESSIVE AND NON-COMPRESSIVE RELIABLE WIDEBAND SPECTRUM SENSING AT SUB-NYQUIST RATES, 21st European Signal Processing Conference (EUSIPCO), Publisher: IEEE

Conference paper

Zhou G, Zhao X, Dai W, 2012, Low Rank Matrix Completion: A Smoothed l<sub>0</sub>-Search, 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Publisher: IEEE, Pages: 1010-1017, ISSN: 2474-0195

Conference paper

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-html.jsp Request URI: /respub/WEB-INF/jsp/search-html.jsp Query String: id=00677503&limit=30&person=true&page=2&respub-action=search.html