## Contact

**KTH Royal Institute of Technology**

*SE-100 44 Stockholm Sweden +46 8 790 60 00*

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A. E. Fontcuberta *et al.*, "Forecasting Solar Cycle 25 with Physical Model-Validated Recurrent Neural Networks," *Solar Physics*, vol. 298, no. 1, 2023.

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S. Mostafaei *et al.*, "Machine learning algorithms for identifying predictive variables of mortality risk following dementia diagnosis : a longitudinal cohort study," *Scientific Reports*, vol. 13, no. 1, 2023.

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A. Venkitaraman, S. Chatterjee and P. Händel, "Predicting Graph Signals Using Kernel Regression Where the Input Signal is Agnostic to a Graph," *IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS*, vol. 5, no. 4, pp. 698-710, 2019.

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F. Ghayem *et al.*, "Sparse Signal Recovery Using Iterative Proximal Projection," *IEEE Transactions on Signal Processing*, vol. 66, no. 4, pp. 879-894, 2018.

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A. Zaki, S. Chatterjee and L. K. Rasmussen, "Generalized fusion algorithm for compressive sampling reconstruction and RIP-based analysis," *Signal Processing*, vol. 139, pp. 36-48, 2017.

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K. Li *et al.*, "Alternating strategies with internal ADMM for low-rank matrix reconstruction," *Signal Processing*, vol. 121, pp. 153-159, 2016.

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M. Vehkaperä, Y. Kabashima and S. Chatterjee, "Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing," *IEEE Transactions on Information Theory*, vol. 62, no. 4, pp. 2100-2124, 2016.

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D. Sundman, S. Chatterjee and M. Skoglund, "Design and Analysis of a Greedy Pursuit for Distributed Compressed Sensing," *IEEE Transactions on Signal Processing*, vol. 64, no. 11, pp. 2803-2818, 2016.

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M. Sundin *et al.*, "Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction," *IEEE Transactions on Signal Processing*, vol. 64, no. 20, pp. 5327-5339, 2016.

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D. Koslicki *et al.*, "ARK : Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition," *PLOS ONE*, vol. 10, no. 10, 2015.

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S. K. Ambat, S. Chatterjee and K. V. S. Hari, "A Committee Machine Approach for Compressed Sensing Signal Reconstruction," *IEEE Transactions on Signal Processing*, vol. 62, no. 7, pp. 1705-1717, 2014.

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Z. Ma *et al.*, "Dirichlet mixture modeling to estimate an empirical lower bound for LSF quantization," *Signal Processing*, vol. 104, pp. 291-295, 2014.

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D. Sundman, S. Chatterjee and M. Skoglund, "Distributed greedy pursuit algorithms," *Signal Processing*, vol. 105, pp. 298-315, 2014.

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D. Zachariah *et al.*, "Estimation for the Linear Model With Uncertain Covariance Matrices," *IEEE Transactions on Signal Processing*, vol. 62, no. 6, pp. 1525-1535, 2014.

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A. Shirazinia, S. Chatterjee and M. Skoglund, "Joint Source-Channel Vector Quantization for Compressed Sensing," *IEEE Transactions on Signal Processing*, vol. 62, no. 14, pp. 3667-3681, 2014.

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D. Sundman, C. Saikat and M. Skoglund, "Methods for Distributed Compressed Sensing," *Journal of Sensor and Actuator Networks*, vol. 3, no. 1, pp. 1-25, 2014.

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S. K. Ambat, S. Chatterjee and K. V. S. Hari, "Progressive fusion of reconstruction algorithms for low latency applications in compressed sensing," *Signal Processing*, vol. 97, pp. 146-151, 2014.

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S. Chatterjee *et al.*, "SEK: Sparsity exploiting *k*-mer-based estimation of bacterial community composition," *Bioinformatics*, vol. 30, no. 17, pp. 2423-2431, 2014.

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A. Shirazinia, S. Chatterjee and M. Skoglund, "Analysis-by-Synthesis Quantization for Compressed Sensing Measurements," *IEEE Transactions on Signal Processing*, vol. 61, no. 22, pp. 5789-5800, 2013.

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S. K. Ambat, S. Chatterjee and K. V. S. Hari, "Fusion of Algorithms for Compressed Sensing," *IEEE Transactions on Signal Processing*, vol. 61, no. 14, pp. 3699-3704, 2013.

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D. Zachariah *et al.*, "Line spectrum estimation with probabilistic priors," *Signal Processing*, vol. 93, no. 11, pp. 2969-2974, 2013.

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J. T. Flam *et al.*, "The linear model under mixed gaussian inputs : Designing the transfer matrix," *IEEE Transactions on Signal Processing*, vol. 61, no. 21, pp. 5247-5259, 2013.

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D. Zachariah *et al.*, "Alternating Least-Squares for Low-Rank Matrix Reconstruction," *IEEE Signal Processing Letters*, vol. 19, no. 4, pp. 231-234, 2012.

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D. Zachariah, S. Chatterjee and M. Jansson, "Dynamic Iterative Pursuit," *IEEE Transactions on Signal Processing*, vol. 60, no. 9, pp. 4967-4972, 2012.

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S. Chatterjee *et al.*, "On MMSE estimation: A linear model under Gaussian mixture statistics," *IEEE Transactions on Signal Processing*, vol. 60, no. 7, pp. 3840-3845, 2012.

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S. Chatterjee *et al.*, "Projection-based and look ahead strategies for atom selection," *IEEE Transactions on Signal Processing*, vol. 60, no. 2, pp. 634-647, 2012.

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Y. Kabashima, M. Vehkaperä and S. Chatterjee, "Typical l(1)-recovery limit of sparse vectors represented by concatenations of random orthogonal matrices," *Journal of Statistical Mechanics : Theory and Experiment*, vol. 2012, no. 12, pp. P12003, 2012.

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S. Chatterjee and W. B. Kleijn, "Auditory Model-Based Design and Optimization of Feature Vectors for Automatic Speech Recognition," *IEEE Transactions on Audio, Speech, and Language Processing*, vol. 19, no. 6, pp. 1813-1825, 2011.

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S. Chatterjee and T. Sreenivas, "Reduced complexity two stage vector quantization," *Digital signal processing (Print)*, vol. 19, no. 3, pp. 476-490, 2009.

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S. Chatterjee and T. Sreenivas, "Optimum switched split vector quantization of LSF parameters," *Signal Processing*, vol. 88, no. 6, pp. 1528-1538, 2008.

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S. Chatterjee and T. Sreenivas, "Optimum transform domain split VQ," *IEEE Signal Processing Letters*, vol. 15, pp. 285-288, 2008.

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S. Chatterjee and T. Sreenivas, "Predicting VQ performance bound for LSF coding," *IEEE Signal Processing Letters*, vol. 15, pp. 166-169, 2008.

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S. Chatterjee and T. Sreenivas, "Switched conditional PDF-based split VQ using Gaussian mixture model," *IEEE Signal Processing Letters*, vol. 15, pp. 91-94, 2008.

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S. Chatterjee and T. Sreenivas, "Analysis of conditional PDF based split VQ," *IEEE Signal Processing Letters*, vol. 14, no. 11, pp. 781-784, 2007.

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S. Chatterjee and T. Sreenivas, "Conditional PDF-based split vector quantization of wideband LSF parameters," *IEEE Signal Processing Letters*, vol. 14, no. 9, pp. 641-644, 2007.

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A. Honore, A. Ghosh and S. Chatterjee, "Compressed Sensing of Generative Sparse-Latent (GSL) Signals," in *31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings*, 2023, pp. 1918-1922.

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X. Liang *et al.*, "DeePMOS : Deep Posterior Mean-Opinion-Score of Speech," in *Interspeech 2023*, 2023, pp. 526-530.

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F. Cumlin, C. Schüldt and S. Chatterjee, "Latent-based Neural Net for Non-intrusive Speech Quality Assessment," in *31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings*, 2023, pp. 226-230.

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S. Das *et al.*, "M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance," in *IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings*, 2023.

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P. G. Jurado, X. Liang and S. Chatterjee, "Deterministic transform based weight matrices for neural networks," in *2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)*, 2022, pp. 4528-4532.

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S. Das *et al.*, "Extrinsic Calibration and Verification of Multiple Non-overlapping Field of View Lidar Sensors," in *2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2022)*, 2022.

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M. Amini *et al.*, "Interpretable PET/CT Radiomic Based Prognosis Modeling of NSCLC Recurrent Following Complete Resection," in *2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference*, 2022.

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S. Das *et al.*, "Neural Greedy Pursuit for Feature Selection," in *2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)*, 2022.

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A. Ghosh *et al.*, "Time-varying Normalizing Flow for Generative Modeling of Dynamical Signals," in *2022 30Th European Signal Processing Conference (EUSIPCO 2022)*, 2022, pp. 1492-1496.

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A. M. Javid *et al.*, "A Relu Dense Layer To Improve The Performance Of Neural Networks," in *2021 IEEE International Conference On Acoustics, Speech And Signal Processing (ICASSP 2021)*, 2021, pp. 2810-2814.

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X. Liang *et al.*, "Asynchronous Decentralized Learning of Randomization-based Neural Networks," in *International Joint Conference on Neural Networks (IJCNN)*, 2021.

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H. Nylén, S. Chatterjee and S. Ternström, "Detecting Signal Corruptions in Voice Recordings For Speech Therapy," in *ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)*, 2021, pp. 386-390.

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X. Liang, M. Skoglund and S. Chatterjee, "Feature Reuse For A Randomization Based Neural Network," in *2021 Ieee International Conference On Acoustics, Speech And Signal Processing (ICASSP 2021)*, 2021, pp. 2805-2809.

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X. Liang *et al.*, "Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead," in *2020 28th European Signal Processing Conference (EUSIPCO)*, 2021, pp. 2185-2189.

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P. G. Jurado *et al.*, "Use of Deterministic Transforms to Design Weight Matrices of a Neural Network," in *29th European Signal Processing Conference (EUSIPCO 2021)*, 2021, pp. 1366-1370.

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X. Liang *et al.*, "A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning," in *2020 International joint conference on neural networks (IJCNN)*, 2020.

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A. M. Javid *et al.*, "Adaptive Learning without Forgetting via Low-Complexity Convex Networks," in *28th European Signal Processing Conference (EUSIPCO 2020)*, 2020, pp. 1623-1627.

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X. Liang *et al.*, "Asynchrounous decentralized learning of a neural network," in *Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020*, 2020, pp. 3947-3951.

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F. Tsai, A. M. Javid and S. Chatterjee, "Design of a Non-negative Neural Network to Improve on NMF," in *28thEuropean Signal Processing Conference (EUSIPCO 2020)*, 2020, pp. 461-465.

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Z. Li *et al.*, "Dual sentence representation model integrating prior knowledge for bio-text-mining," in *2020 IEEE international conference on bioinformatics and biomedicine*, 2020, pp. 2409-2416.

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A. Venkitaraman, S. Chatterjee and P. Händel, "Gaussian Processes over Graphs," in *2020 IEEE International Conference on Acoustics Speech and Signal Processing ICASSP*, 2020, pp. 5640-5644.

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A. Honore *et al.*, "Hidden markov models for sepsis detection in preterm infants," in *Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020*, 2020, pp. 1130-1134.

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A. M. Javid *et al.*, "High-dimensional neural feature using rectified linear unit and random matrix instance," in *2020 IEEE international conference on acoustics, speech, and signal processing*, 2020, pp. 4237-4241.

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D. Liu *et al.*, "Neural Network based Explicit Mixture Models and Expectation-maximization based Learning," in *Proceedings of the International Joint Conference on Neural Networks*, 2020.

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D. Liu *et al.*, "Powering hidden markov model by neural network based generative models," in *ECAI 2020: 24TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE*, 2020, pp. 1324-1331.

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A. Venkitaraman, S. Chatterjee and B. Wahlberg, "Recursive Prediction of Graph Signals with Incoming Nodes," in *2020 IEEE International Conference on Acoustics, Speech, And Signal Processing*, 2020, pp. 5565-5569.

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A. Ghosh *et al.*, "Robust classification using hidden markov models and mixtures of normalizing flows," in *2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)*, 2020.

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A. Zaki and S. Chatterjee, "Convex optimization based sparse learning over networks," in *2019 27th European Signal Processing Conference (EUSIPCO)*, 2019.

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D. Liu *et al.*, "ENTROPY-REGULARIZED OPTIMAL TRANSPORT GENERATIVE MODELS," in *2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)*, 2019, pp. 3532-3536.

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A. Venkitaraman, P. Frossard and S. Chatterjee, "KERNEL REGRESSION FOR GRAPH SIGNAL PREDICTION IN PRESENCE OF SPARSE NOISE," in *2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)*, 2019, pp. 5426-5430.

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M. Sadeghi *et al.*, "L0soft : ℓ0 minimization via soft thresholding," in *Proceedings of the 27th European Signal Processing Conference (EUSIPCO)*, 2019.

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D. Liu *et al.*, "alpha Belief Propagation as Fully Factorized Approximation," in *2019 7TH IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (IEEE GLOBALSIP)*, 2019.

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X. Liang *et al.*, "DISTRIBUTED LARGE NEURAL NETWORK WITH CENTRALIZED EQUIVALENCE," in *2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)*, 2018, pp. 2976-2980.

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A. Venkitaraman, S. Chatterjee and P. Händel, "Extreme learning machine for graph signal processing," in *2018 26th European Signal Processing Conference (EUSIPCO)*, 2018, pp. 136-140.

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A. Venkitaraman, S. Chatterjee and P. Händel, "MULTI-KERNEL REGRESSION FOR GRAPH SIGNAL PROCESSING," in *2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)*, 2018, pp. 4644-4648.

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A. M. Javid, S. Chatterjee and M. Skoglund, "Mutual Information Preserving Analysis of a Single Layer Feedforward Network," in *Proceedings of the International Symposium on Wireless Communication Systems*, 2018.

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M. Sundin *et al.*, "A Connectedness Constraint for Learning Sparse Graphs," in *2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)*, 2017, pp. 151-155.

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A. Zaki *et al.*, "Distributed Greedy Sparse Learning over Doubly Stochastic Networks," in *2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)*, 2017, pp. 361-364.

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G. Fotedar *et al.*, "Automatic recognition of social roles using long term role transitions in small group interactions," in *Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH*, 2016, pp. 2065-2069.

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M. Sundin, S. Chatterjee and M. Jansson, "Bayesian Cramer-Rao bounds for factorized model based low rank matrix reconstruction," in *2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)*, 2016, pp. 1227-1231.

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M. Sundin, S. Chatterjee and M. Jansson, "Bayesian learning for robust principal component analysis," in *2015 23rd European Signal Processing Conference, EUSIPCO 2015*, 2015, pp. 2361-2365.

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A. Venkitaraman, S. Chatterjee and P. Händel, "Graph linear prediction results in smaller error than standard linear prediction," in *2015 23rd European Signal Processing Conference, EUSIPCO 2015*, 2015, pp. 220-224.

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M. Sundin, S. Chatterjee and M. Jansson, "Greedy minimization of l1-norm with high empirical success," in *40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015*, 2015.

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A. Zaki, S. Chatterjee and L. K. Rasmussen, "Universal algorithm for compressive sampling," in *2015 23rd European Signal Processing Conference, EUSIPCO 2015*, 2015, pp. 689-693.

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C. Koniaris and S. Chatterjee, "A sparsity based preprocessing for noise robust speech recognition," in *2014 IEEE Workshop on Spoken Language Technology, SLT 2014 - Proceedings*, 2014, pp. 513-518.

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M. Vehkapera, Y. Kabashima and S. Chatterjee, "Analysis of regularized LS reconstruction and random matrix ensembles in compressed sensing," in *2014 IEEE International Symposium on Information Theory, ISIT 2014, 29 June 2014 through 4 July 2014, Honolulu, HI*, 2014, pp. 3185-3189.

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M. Sundin, S. Chatterjee and M. Jansson, "COMBINED MODELING OF SPARSE AND DENSE NOISE IMPROVES BAYESIAN RVM," in *2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)*, 2014, pp. 1841-1845.

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M. Sundin, S. Chatterjee and M. Jansson, "Combined Modelling of Sparse and Dense noise improves Bayesian RVM," in *Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014*, 2014, pp. 1841-1845.

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A. Shirazinia, S. Chatterjee and M. Skoglund, "Distributed Quantization for Compressed Sensing," in *2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014; Florence; Italy; 4 May 2014 through 9 May 2014*, 2014, pp. 6439-6443.

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K. Li *et al.*, "Piecewise Toeplitz matrices-based sensing for rank minimization," in *European Signal Processing Conference*, 2014, pp. 1836-1840.

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P. B. Swamy *et al.*, "Reduced look ahead orthogonal matching pursuit," in *2014 20th National Conference on Communications, NCC 2014*, 2014, p. 6811329.

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M. Sundin *et al.*, "Relevance Singular Vector Machine for low rank matrix sensing," in *Signal Processing and Communications (SPCOM), 2014 International Conference on*, 2014, pp. 1-5.

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A. Shirazinia, S. Chatterjee and M. Skoglund, "Analysis-by-synthesis-based Quantization of Compressed Sensing Measurements," in *2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013*, 2013, pp. 5810-5814.

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A. Shirazinia, S. Chatterjee and M. Skoglund, "Channel-optimized Vector Quantizer Design for Compressed Sensing Measurements," in *2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013*, 2013, pp. 4648-4652.

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M. Sundin, M. Jansson and S. Chatterjee, "Conditional prior based lmmse estimation of sparse signals," in *2013 Proceedings of the 21st European Signal Processing Conference (EUSIPCO)*, 2013, p. 6811629.

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D. Sundman *et al.*, "Distributed Predictive Subspace Pursuit," in *2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013*, 2013, pp. 4633-4637.

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D. Zachariah, M. Jansson and S. Chatterjee, "Enhanced capon beamformer using regularized covariance matching," in *2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)*, 2013, pp. 97-100.

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S. K. Ambat, S. Chatterjee and K. V. S. Hari, "Fusion of algorithms for Compressed Sensing," in *ICASSP IEEE Int Conf Acoust Speech Signal Process Proc*, 2013, pp. 5860-5864.

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D. Zachariah, S. Chatterjee and M. Jansson, "Iteratively Reweighted Least Squares for Reconstruction of Low-Rank Matrices with Linear Structure," in *2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)*, 2013, pp. 6456-6460.

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D. Sundman, S. Chatterjee and M. Skoglund, "Parallel pursuit for distributed compressed sensing," in *2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings*, 2013, pp. 783-786.

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J. Flåm, E. Björnson and S. Chatterjee, "Pilot design for MIMO channel estimation : An alternative to the Kronecker structure assumption," in *ICASSP IEEE Int Conf Acoust Speech Signal Process Proc*, 2013, pp. 5061-5064.

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M. Vehkaperä, Y. Kabashima and S. Chatterjee, "Statistical mechanics approach to sparse noise denoising," in *2013 Proceedings of the 21st European Signal Processing Conference (EUSIPCO)*, 2013, p. 6811435.

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D. Sundman, C. Saikat and M. Skoglund, "A Greedy Pursuit Algorithm for Distributed Compressed Sensing," in *Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on*, 2012, pp. 2729-2732.

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S. K. Ambat, S. Chatterjee and K. V. S. Hari, "Adaptive selection of search space in look ahead orthogonal matching pursuit," in *2012 National Conference on Communications, NCC 2012*, 2012, p. 6176852.

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M. Vehkaperä *et al.*, "Analysis of Sparse Representations Using Bi-Orthogonal Dictionaries," in *Information Theory Workshop (ITW), 2012 IEEE*, 2012, pp. 647-651.

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B. S. Mysore Rama Rao, S. Chatterjee and B. Ottersten, "Detection of sparse random signals using compressive measurements," in *Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on*, 2012, pp. 3257-3260.

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D. Zachariah, C. Saikat and M. Jansson, "Dynamic subspace pursuit," in *Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on*, 2012, pp. 3605-3608.

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D. Sundman, S. Chatterjee and M. Skoglund, "FROGS : A serial reversible greedy search algorithm," in *2012 Swedish Communication Technologies Workshop, Swe-CTW 2012*, 2012, pp. 40-45.

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S. K. Ambat, S. Chatterjee and K. Hari, "Fusion of greedy pursuits for compressed sensing signal reconstruction," in *2012 Proceedings Of The 20th European Signal Processing Conference (EUSIPCO)*, 2012, pp. 1434-1438.

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S. K. Ambat, S. Chatterjee and K. V. S. Hari, "On selection of search space dimension in compressive sampling matching pursuit," in *TENCON 2012 - 2012 IEEE Region 10 Conference*, 2012, p. 6412345.

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A. Shirazinia, S. Chatterjee and M. Skoglund, "Performance Bounds for Vector Quantized Compressive Sensing," in *2012 International Symposium on Information Theory and Its Applications, ISITA 2012*, 2012, pp. 289-293.

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S. Chatterjee *et al.*, "Projection-based atom selection in orthogonal matching pursuit for compressive sensing," in *2012 National Conference on Communications, NCC 2012*, 2012, p. 6176797.

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S. K. Ambat, S. Chatterjee and K. V. S. Hari, "Subspace pursuit embedded in orthogonal matching pursuit," in *TENCON 2012 - 2012 IEEE Region 10 Conference*, 2012, p. 6412325.

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M. Vehkaperä, S. Chatterjee and M. Skoglund, "Analysis of MMSE estimation for compressive sensing of block sparse signals," in *2011 IEEE Information Theory Workshop, ITW 2011*, 2011, pp. 553-557.

[121]

J. Flåm, J. Jaldén and S. Chatterjee, "Gaussian mixture modeling for source localization," in *ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings*, 2011, pp. 2604-2607.

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D. Sundman, S. Chatterjee and M. Skoglund, "Greedy pursuits for compressed sensing of jointly sparse signals," in *European Signal Processing Conference*, 2011, pp. 368-372.

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D. Sundman, S. Chatterjee and M. Skolglund, "Greedy pursuits of compressed sensing of jointly sparse signal," in *The 2011 European Signal Processing Conference (EUSIPCO‐2011). Barcelona, Spain. August 29- September 2, 2011*, 2011.

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S. Chatterjee, D. Sundman and M. Skoglund, "Hybrid greedy pursuit," in *19th European Signal Processing Conference (EUSIPCO 2011)*, 2011, pp. 343-347.

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D. Sundman, C. Saikat and M. Skoglund, "Look Ahead Parallel Pursuit," in *2011 IEEE Swedish Communication Technologies Workshop, Swe-CTW 2011*, 2011, pp. 114-117.

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S. Chatterjee, D. Sundman and M. Skoglund, "Look ahead orthogonal matching pursuit," in *ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings*, 2011, pp. 4024-4027.

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S. Chatterjee, D. Sundman and M. Skolglund, "Robust matching pursuit for recovery of Gaussian sparse signal," in *2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011 - Proceedings*, 2011, pp. 420-424.

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S. Chatterjee and W. B. Kleijn, "AUDITORY MODEL BASED MODIFIED MFCC FEATURES," in *2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING*, 2010, pp. 4590-4593.

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D. Sundman, S. Chatterjee and M. Skoglund, "On the use of Compressive Sampling for Wide-band Spectrum Sensing," in *2010 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)*, 2010, pp. 354-359.

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C. Koniaris, S. Chatterjee and W. B. Kleijn, "Selecting static and dynamic features using an advanced auditory model for speech recognition," in *Proceedings 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing*, 2010, pp. 4590-4593.

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S. Chatterjee, D. Sundman and M. Skolglund, "Statistical post-processing improves basis pursuit denoising performance," in *2010 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2010*, 2010, pp. 23-27.

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