Saikat Chatterjee

214 papers A* 1A 10B 7C 5Misc 35Journal 111Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DNS: Data-driven Nonlinear Smoother for Complex Model-free Process. CoRR Fredrik Cumlin, Anubhab Ghosh, Saikat Chatterjee
2026	J	`jnl`	SA-SSL-MOS: Self-supervised Learning MOS Prediction with Spectral Augmentation for Generalized Multi-Rate Speech Assessment. CoRR Fengyuan Cao, Xinyu Liang, Fredrik Cumlin, Victor Ungureanu, Chandan K. A. Reddy, Christian Schüldt, Saikat Chatterjee
2026	J	`jnl`	VSE: Variational state estimation of complex model-free process. CoRR Gustav Norén, Anubhab Ghosh, Fredrik Cumlin, Saikat Chatterjee
2025	J	`jnl`	Artificial Intelligence-Aided Kalman Filters: AI-Augmented Designs for Kalman-Type Algorithms. IEEE Signal Process. Mag. Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar
2025	J	`jnl`	BiGSM: Bayesian inference of gene regulatory network via sparse modelling. Bioinform. Hang Qin, Mateusz Garbulowski, Erik L. L. Sonnhammer, Saikat Chatterjee
2025	Misc	`conf`	Enhancing Network Calibration for Low-Cost Gas Sensor Networks Through Adaptive Similarity Search. ICASSP Cheng Yang, Saikat Chatterjee, Tobias J. Oechtering
2025	Misc	`conf`	Impairments are Clustered in Latents of Deep Neural Network-based Speech Quality Models. ICASSP Fredrik Cumlin, Xinyu Liang, Victor Ungureanu, Chandan K. A. Reddy, Christian Schüldt, Saikat Chatterjee
2025	A	`conf`	Multivariate Probabilistic Assessment of Speech Quality. INTERSPEECH Fredrik Cumlin, Xinyu Liang, Victor Ungureanu, Chandan K. A. Reddy, Christian Schüldt, Saikat Chatterjee
2025	Misc	`conf`	Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution. ICASSP Sajad Daei, Amirreza Zamani, Saikat Chatterjee, Mikael Skoglund, Gábor Fodor
2025	Misc	`conf`	Particle-based Data-driven Nonlinear State Estimation of Model-free Process from Nonlinear Measurements. ICASSP Anubhab Ghosh, Yonina C. Eldar, Saikat Chatterjee
2025	C	`conf`	Selection of Layers from Self-supervised Learning Models for Predicting Mean-Opinion-Score of Speech. ASRU Xinyu Liang, Fredrik Cumlin, Victor Ungureanu, Chandan K. A. Reddy, Christian Schüldt, Saikat Chatterjee
2025	J	`jnl`	Selection of Layers from Self-supervised Learning Models for Predicting Mean-Opinion-Score of Speech. CoRR Xinyu Liang, Fredrik Cumlin, Victor Ungureanu, Chandan K. A. Reddy, Christian Schüldt, Saikat Chatterjee
2025	Misc	`conf`	iDANSE: Iterative Data-driven Nonlinear State Estimation of Model-free Hidden Sequences. ICASSP Hang Qin, Anubhab Ghosh, Saikat Chatterjee
2025	J	`jnl`	pDANSE: Particle-based Data-driven Nonlinear State Estimation from Nonlinear Measurements. CoRR Anubhab Ghosh, Yonina C. Eldar, Saikat Chatterjee
2024	J	`jnl`	AI-Aided Kalman Filters. CoRR Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar
2024	J	`jnl`	DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Learning Setup. IEEE Trans. Signal Process. Anubhab Ghosh, Antoine Honoré, Saikat Chatterjee
2024	A	`conf`	DNSMOS Pro: A Reduced-Size DNN for Probabilistic MOS of Speech. INTERSPEECH Fredrik Cumlin, Xinyu Liang, Victor Ungureanu, Chandan K. A. Reddy, Christian Schüldt, Saikat Chatterjee
2024	J	`jnl`	Data-driven Bayesian State Estimation with Compressed Measurement of Model-free Process using Semi-supervised Learning. CoRR Anubhab Ghosh, Yonina C. Eldar, Saikat Chatterjee
2024	—	`conf`	DeePMOS-$\mathcal{B}$: Deep Posterior Mean-Opinion-Score Using Beta Distribution. EUSIPCO Xinyu Liang, Fredrik Cumlin, Victor Ungureanu, Chandan K. A. Reddy, Christian Schüldt, Saikat Chatterjee
2024	J	`jnl`	DeepBayes - An estimator for parameter estimation in stochastic nonlinear dynamical models. Autom. Anubhab Ghosh, Mohamed Abdalmoaty, Saikat Chatterjee, Håkan Hjalmarsson
2024	C	`conf`	IMU-based Online Multi-lidar Calibration. IV Sandipan Das, Bengt Boberg, Maurice F. Fallon, Saikat Chatterjee
2023	J	`jnl`	Automated Sentiment and Hate Speech Analysis of Facebook Data by Employing Multilingual Transformer Models. CoRR Ritumbra Manuvie, Saikat Chatterjee
2023	—	`conf`	Compressed Sensing of Generative Sparse-Latent (GSL) Signals. EUSIPCO Antoine Honoré, Anubhab Ghosh, Saikat Chatterjee
2023	J	`jnl`	Compressed Sensing of Generative Sparse-latent (GSL) Signals. CoRR Antoine Honoré, Anubhab Ghosh, Saikat Chatterjee
2023	—	`conf`	DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Bayesian Setup. EUSIPCO Anubhab Ghosh, Antoine Honoré, Saikat Chatterjee
2023	J	`jnl`	DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup. CoRR Anubhab Ghosh, Antoine Honoré, Saikat Chatterjee
2023	A	`conf`	DeePMOS: Deep Posterior Mean-Opinion-Score of Speech. INTERSPEECH Xinyu Liang, Fredrik Cumlin, Christian Schüldt, Saikat Chatterjee
2023	J	`jnl`	Extension of Topological Groupoids and Hurewicz Morphisms. Appl. Categorical Struct. Saikat Chatterjee, Praphulla Koushik
2023	J	`jnl`	Identifying and analysing toxic actors and communities on Facebook by employing network analysis. CoRR Ritumbra Manuvie, Saikat Chatterjee
2023	—	`conf`	Latent-Based Neural Net for Non-Intrusive Speech Quality Assessment. EUSIPCO Fredrik Cumlin, Christian Schüldt, Saikat Chatterjee
2023	C	`conf`	M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance. IV Sandipan Das, Navid Mahabadi, Maurice F. Fallon, Saikat Chatterjee
2023	J	`jnl`	Observability-Aware Online Multi-Lidar Extrinsic Calibration. IEEE Robotics Autom. Lett. Sandipan Das, Ludvig af Klinteberg, Maurice F. Fallon, Saikat Chatterjee
2022	J	`jnl`	AERO: Design Space Exploration Framework for Resource-Constrained CNN Mapping on Tile-Based Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. Simei Yang, Debjyoti Bhattacharjee, Vinay B. Y. Kumar, Saikat Chatterjee, Sayandip De, Peter Debacker, Diederik Verkest, Arindam Mallik, Francky Catthoor
2022	J	`jnl`	Decentralized learning of randomization-based neural networks with centralized equivalence. Appl. Soft Comput. Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2022	J	`jnl`	DeepBayes - an estimator for parameter estimation in stochastic nonlinear dynamical models. CoRR Anubhab Ghosh, Mohamed Rasheed Abdalmoaty, Saikat Chatterjee, Håkan Hjalmarsson
2022	Misc	`conf`	Deterministic Transform Based Weight Matrices for Neural Networks. ICASSP Pol Grau Jurado, Xinyue Liang, Saikat Chatterjee
2022	A*	`conf`	Extrinsic Calibration and Verification of Multiple Non-overlapping Field of View Lidar Sensors. ICRA Sandipan Das, Navid Mahabadi, Addi Djikic, Cesar Nassir, Saikat Chatterjee, Maurice F. Fallon
2022	J	`jnl`	Extrinsic Calibration and Verification of Multiple Non-overlapping Field of View Lidar Sensors. CoRR Sandipan Das, Navid Mahabadi, Addi Djikic, Cesar Nassir, Saikat Chatterjee, Maurice F. Fallon
2022	J	`jnl`	M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance. CoRR Sandipan Das, Navid Mahabadi, Maurice F. Fallon, Saikat Chatterjee
2022	J	`jnl`	Multi-modal curb detection and filtering. CoRR Sandipan Das, Navid Mahabadi, Saikat Chatterjee, Maurice F. Fallon
2022	J	`jnl`	Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms. J. Digit. Imaging Fatemeh Arian, Mehdi Amini, Shayan Mostafaei, Kiara Rezaei-Kalantari, Atlas Haddadi Avval, Zahra Shahbazi, Kianosh Kasani, Ahmad Bitarafan-rajabi, Saikat Chatterjee, Mehrdad Oveisi, Isaac Shiri, Habib Zaidi
2022	B	`conf`	Neural Greedy Pursuit for Feature Selection. IJCNN Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain, Yonina C. Eldar, Saikat Chatterjee
2022	J	`jnl`	Neural Greedy Pursuit for Feature Selection. CoRR Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain, Yonina C. Eldar, Saikat Chatterjee
2022	J	`jnl`	Observability-aware online multi-lidar extrinsic calibration. CoRR Sandipan Das, Ludvig af Klinteberg, Maurice F. Fallon, Saikat Chatterjee
2022	—	`conf`	Time-varying Normalizing Flow for Generative Modeling of Dynamical Signals. EUSIPCO Anubhab Ghosh, Aleix Espuña Fontcuberta, Mohamed Rasheed-Hilmy Abdalmoaty, Saikat Chatterjee
2021	Misc	`conf`	A ReLU Dense Layer to Improve the Performance of Neural Networks. ICASSP Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee
2021	B	`conf`	Asynchronous Decentralized Learning of Randomization-Based Neural Networks. IJCNN Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2021	Misc	`conf`	Detecting Signal Corruptions in Voice Recordings For Speech Therapy. ICASSP Helmer Nylén, Saikat Chatterjee, Sten Ternström
2021	Misc	`conf`	Feature Reuse for a Randomization Based Neural Network. ICASSP Xinyue Liang, Mikael Skoglund, Saikat Chatterjee
2021	J	`jnl`	Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability. CoRR Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee
2021	J	`jnl`	Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows. CoRR Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee
2021	—	`conf`	Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. EUSIPCO Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee
2021	J	`jnl`	Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. CoRR Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee
2020	B	`conf`	A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. IJCNN Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. CoRR Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	A ReLU Dense Layer to Improve the Performance of Neural Networks. CoRR Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee
2020	—	`conf`	Adaptive Learning without Forgetting via Low-Complexity Convex Networks. EUSIPCO Alireza M. Javid, Xinyue Liang, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	Asynchronous Decentralized Learning of a Neural Network. CoRR Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2020	Misc	`conf`	Asynchrounous Decentralized Learning of a Neural Network. ICASSP Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2020	—	`conf`	Design of a Non-negative Neural Network to Improve on NMF. EUSIPCO Filip Wen-Fwu Tsai, Alireza M. Javid, Saikat Chatterjee
2020	—	`conf`	Dual sentence representation model integrating prior knowledge for bio-text-mining. BIBM Zhijing Li, YangYang Lan, Saikat Chatterjee, Pargorn Puttapirat, Xiangrong Zhang, Chen Li
2020	Misc	`conf`	Gaussian Processes Over Graphs. ICASSP Arun Venkitaraman, Saikat Chatterjee, Peter Handel
2020	Misc	`conf`	Hidden Markov Models for Sepsis Detection in Preterm Infants. ICASSP Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund
2020	Misc	`conf`	High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance. ICASSP Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	High-dimensional Neural Feature using Rectified Linear Unit and Random Matrix Instance. CoRR Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	High-dimensional neural feature design for layer-wise reduction of training cost. EURASIP J. Adv. Signal Process. Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
2020	—	`conf`	Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead. EUSIPCO Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2020	B	`conf`	Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. IJCNN Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
2020	J	`jnl`	Online Spatiotemporal Popularity Learning via Variational Bayes for Cooperative Caching. IEEE Trans. Commun. Sajad Mehrizi, Saikat Chatterjee, Symeon Chatzinotas, Björn E. Ottersten
2020	A	`conf`	Powering Hidden Markov Model by Neural Network Based Generative Models. ECAI Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen
2020	J	`jnl`	Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University. CoRR Alireza M. Javid, Xinyue Liang, Arun Venkitaraman, Saikat Chatterjee
2020	Misc	`conf`	Recursive Prediction of Graph Signals With Incoming Nodes. ICASSP Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg
2020	—	`conf`	Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows. MLSP Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee
2020	J	`jnl`	Statistical model-based evaluation of neural networks. CoRR Sandipan Das, Prakash B. Gohain, Alireza M. Javid, Yonina C. Eldar, Saikat Chatterjee
2019	—	`conf`	Convex Optimization Based Sparse Learning Over Networks. EUSIPCO Ahmed Zaki, Saikat Chatterjee
2019	Misc	`conf`	Entropy-regularized Optimal Transport Generative Models. ICASSP Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
2019	J	`jnl`	Estimate exchange over network is good for distributed hard thresholding pursuit. Signal Process. Ahmed Zaki, Partha P. Mitra, Lars K. Rasmussen, Saikat Chatterjee
2019	J	`jnl`	Hidden Markov Models for sepsis detection in preterm infants. CoRR Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund
2019	Misc	`conf`	Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise. ICASSP Arun Venkitaraman, Pascal Frossard, Saikat Chatterjee
2019	—	`conf`	LOSoft: ℓ0 Minimization via Soft Thresholding. EUSIPCO Mostafa Sadeghi, Fateme Ghayem, Massoud Babaie-Zadeh, Saikat Chatterjee, Mikael Skoglund, Christian Jutten
2019	J	`jnl`	Neural Network based Explicit Mixture Models and Expectation-maximization based Learning. CoRR Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
2019	J	`jnl`	On Hilbert transform, analytic signal, and modulation analysis for signals over graphs. Signal Process. Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2019	J	`jnl`	Powering Hidden Markov Model by Neural Network based Generative Models. CoRR Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen
2019	J	`jnl`	Predicting Graph Signals Using Kernel Regression Where the Input Signal is Agnostic to a Graph. IEEE Trans. Signal Inf. Process. over Networks Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2019	J	`jnl`	Recursive Prediction of Graph Signals with Incoming Nodes. CoRR Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg
2019	J	`jnl`	SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design. CoRR Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Shumpei Kikuta, Partha P. Mitra, Mikael Skoglund
2019	—	`conf`	α Belief Propagation as Fully Factorized Approximation. GlobalSIP Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee
2019	J	`jnl`	α Belief Propagation as Fully Factorized Approximation. CoRR Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee
2018	Misc	`conf`	Distributed Large Neural Network with Centralized Equivalence. ICASSP Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2018	J	`jnl`	Entropy-regularized Optimal Transport Generative Models. CoRR Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen
2018	—	`conf`	Extreme Learning Machine for Graph Signal Processing. EUSIPCO Arun Venkitaraman, Saikat Chatterjee, Peter Handel
2018	J	`jnl`	Extreme Learning Machine for Graph Signal Processing. CoRR Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2018	J	`jnl`	Gaussian Processes Over Graphs. CoRR Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2018	J	`jnl`	Greedy Sparse Learning Over Network. IEEE Trans. Signal Inf. Process. over Networks Ahmed Zaki, Arun Venkitaraman, Saikat Chatterjee, Lars Kildehoj Rasmussen
2018	J	`jnl`	Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise. CoRR Arun Venkitaraman, Pascal Frossard, Saikat Chatterjee
2018	J	`jnl`	Locally Convex Sparse Learning over Networks. CoRR Ahmed Zaki, Saikat Chatterjee, Partha P. Mitra, Lars K. Rasmussen
2018	Misc	`conf`	Multi-Kernel Regression for Graph Signal Processing. ICASSP Arun Venkitaraman, Saikat Chatterjee, Peter Handel
2018	J	`jnl`	Multi-kernel Regression For Graph Signal Processing. CoRR Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2018	—	`conf`	Mutual Information Preserving Analysis of a Single Layer Feedforward Network. ISWCS Alireza M. Javid, Saikat Chatterjee, Mikael Skoglund
2018	J	`jnl`	R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural Network. CoRR Arun Venkitaraman, Alireza M. Javid, Saikat Chatterjee
2018	J	`jnl`	Sparse Signal Recovery Using Iterative Proximal Projection. IEEE Trans. Signal Process. Fateme Ghayem, Mostafa Sadeghi, Massoud Babaie-Zadeh, Saikat Chatterjee, Mikael Skoglund, Christian Jutten
2018	J	`jnl`	Supervised Linear Regression for Graph Learning from Graph Signals. CoRR Arun Venkitaraman, Hermina Petric Maretic, Saikat Chatterjee, Pascal Frossard
2017	—	`conf`	A connectedness constraint for learning sparse graphs. EUSIPCO Martin Sundin, Arun Venkitaraman, Magnus Jansson, Saikat Chatterjee
2017	—	`conf`	Distributed greedy sparse learning over doubly stochastic networks. EUSIPCO Ahmed Zaki, Arun Venkitaraman, Saikat Chatterjee, Lars K. Rasmussen
2017	J	`jnl`	Generalized fusion algorithm for compressive sampling reconstruction and RIP-based analysis. Signal Process. Ahmed Zaki, Saikat Chatterjee, Lars K. Rasmussen
2017	J	`jnl`	Kernel Regression for Signals over Graphs. CoRR Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2017	J	`jnl`	Large Neural Network Based Detection of Apnea, Bradycardia and Desaturation Events. CoRR Antoine Honoré, Veronica Siljehav, Saikat Chatterjee, Eric Herlenius
2017	J	`jnl`	Progressive Learning for Systematic Design of Large Neural Networks. CoRR Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Partha P. Mitra, Mikael Skoglund
2016	J	`jnl`	Alternating strategies with internal ADMM for low-rank matrix reconstruction. Signal Process. Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson
2016	J	`jnl`	Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing. IEEE Trans. Inf. Theory Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee
2016	A	`conf`	Automatic Recognition of Social Roles Using Long Term Role Transitions in Small Group Interactions. INTERSPEECH Gaurav Fotedar, Aditya Gaonkar P., Saikat Chatterjee, Prasanta Kumar Ghosh
2016	—	`conf`	Bayesian Cramer-Rao bounds for factorized model based low rank matrix reconstruction. EUSIPCO Martin Sundin, Saikat Chatterjee, Magnus Jansson
2016	J	`jnl`	Design and Analysis of a Greedy Pursuit for Distributed Compressed Sensing. IEEE Trans. Signal Process. Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2016	J	`jnl`	Hilbert Transform, Analytic Signal, and Modulation Analysis for Graph Signal Processing. CoRR Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2016	J	`jnl`	Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction. IEEE Trans. Signal Process. Martin Sundin, Cristian R. Rojas, Magnus Jansson, Saikat Chatterjee
2015	—	`conf`	A 65 nm standard cell library for ultra low-power applications. ECCTD Marten Vohrmann, Saikat Chatterjee, Sven Lütkemeier, Thorsten Jungeblut, Mario Porrmann, Ulrich Rückert
2015	J	`jnl`	Bayesian Learning for Low-Rank matrix reconstruction. CoRR Martin Sundin, Cristian R. Rojas, Magnus Jansson, Saikat Chatterjee
2015	—	`conf`	Bayesian learning for robust principal component analysis. EUSIPCO Martin Sundin, Saikat Chatterjee, Magnus Jansson
2015	—	`conf`	Bayesian learning for time-varying linear prediction of speech. EUSIPCO Adria Casamitjana, Martin Sundin, Prasanta Kumar Ghosh, Saikat Chatterjee
2015	—	`conf`	Graph linear prediction results in smaller error than standard linear prediction. EUSIPCO Arun Venkitaraman, Saikat Chatterjee, Peter Handel
2015	Misc	`conf`	Greedy minimization of l1-norm with high empirical success. ICASSP Martin Sundin, Saikat Chatterjee, Magnus Jansson
2015	—	`conf`	Universal algorithm for compressive sampling. EUSIPCO Ahmed Zaki, Saikat Chatterjee, Lars K. Rasmussen
2014	J	`jnl`	A Committee Machine Approach for Compressed Sensing Signal Reconstruction. IEEE Trans. Signal Process. Sooraj K. Ambat, Saikat Chatterjee, K. V. S. Hari
2014	—	`conf`	A sparsity based preprocessing for noise robust speech recognition. SLT Christos Koniaris, Saikat Chatterjee
2014	J	`jnl`	Alternating Strategies Are Good For Low-Rank Matrix Reconstruction. CoRR Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson
2014	J	`jnl`	Analysis of Democratic Voting Principles used in Distributed Greedy Algorithms. CoRR Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2014	B	`conf`	Analysis of regularized LS reconstruction and random matrix ensembles in compressed sensing. ISIT Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee
2014	J	`jnl`	Analysis-by-Synthesis Quantization for Compressed Sensing Measurements. CoRR Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2014	J	`jnl`	Analysis-by-Synthesis-based Quantization of Compressed Sensing Measurements. CoRR Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2014	J	`jnl`	Channel-Optimized Vector Quantizer Design for Compressed Sensing Measurements. CoRR Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2014	—	`conf`	Combined modeling of sparse and dense noise improves Bayesian RVM. EUSIPCO Martin Sundin, Saikat Chatterjee, Magnus Jansson
2014	J	`jnl`	DIPP - Distributed Parallel Pursuit. CoRR Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2014	J	`jnl`	Dirichlet mixture modeling to estimate an empirical lower bound for LSF quantization. Signal Process. Zhanyu Ma, Saikat Chatterjee, W. Bastiaan Kleijn, Jun Guo
2014	J	`jnl`	Distributed Quantization for Compressed Sensing. CoRR Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2014	J	`jnl`	Distributed Quantization for Measurement of Correlated Sparse Sources over Noisy Channels. CoRR Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2014	J	`jnl`	Distributed greedy pursuit algorithms. Signal Process. Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2014	Misc	`conf`	Distributed quantization for compressed sensing. ICASSP Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2014	J	`jnl`	Estimation for the Linear Model With Uncertain Covariance Matrices. IEEE Trans. Signal Process. Dave Zachariah, Nafiseh Shariati, Mats Bengtsson, Magnus Jansson, Saikat Chatterjee
2014	J	`jnl`	Joint Source-Channel Vector Quantization for Compressed Sensing. CoRR Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2014	J	`jnl`	Joint Source-Channel Vector Quantization for Compressed Sensing. IEEE Trans. Signal Process. Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2014	J	`jnl`	Methods for Distributed Compressed Sensing. J. Sens. Actuator Networks Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2014	J	`jnl`	Performance Bounds for Vector Quantized Compressive Sensing. CoRR Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2014	J	`jnl`	Piecewise Toeplitz Matrices-based Sensing for Rank Minimization. CoRR Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson
2014	—	`conf`	Piecewise Toeplitz matrices-based sensing for rank minimization. EUSIPCO Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson
2014	J	`jnl`	Progressive fusion of reconstruction algorithms for low latency applications in compressed sensing. Signal Process. Sooraj K. Ambat, Saikat Chatterjee, K. V. S. Hari
2014	—	`conf`	Reduced Look Ahead Orthogonal Matching Pursuit. NCC Prateek Basavapur Swamy, Sooraj K. Ambat, Saikat Chatterjee, K. V. S. Hari
2014	J	`jnl`	Relevance Singular Vector Machine for low-rank matrix sensing. CoRR Martin Sundin, Saikat Chatterjee, Magnus Jansson, Cristian R. Rojas
2014	J	`jnl`	SEK: sparsity exploiting Bioinform. Saikat Chatterjee, David Koslicki, Siyuan Dong, Nicolas Innocenti, Lu Cheng, Yueheng Lan, Mikko Vehkaperä, Mikael Skoglund, Lars K. Rasmussen, Erik Aurell, Jukka Corander
2013	J	`jnl`	Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing. CoRR Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee
2013	J	`jnl`	Analysis-by-Synthesis Quantization for Compressed Sensing Measurements. IEEE Trans. Signal Process. Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2013	Misc	`conf`	Analysis-by-synthesis-based quantization of compressed sensing measurements. ICASSP Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2013	Misc	`conf`	Channel-optimized vector quantizer design for compressed sensing measurements. ICASSP Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2013	—	`conf`	Conditional prior based lmmse estimation of sparse signals. EUSIPCO Martin Sundin, Magnus Jansson, Saikat Chatterjee
2013	J	`jnl`	Distributed Greedy Pursuit Algorithms. CoRR Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2013	Misc	`conf`	Distributed predictive subspace pursuit. ICASSP Dennis Sundman, Dave Zachariah, Saikat Chatterjee, Mikael Skoglund
2013	—	`conf`	Enhanced Capon beamformer using regularized covariance matching. CAMSAP Dave Zachariah, Magnus Jansson, Saikat Chatterjee
2013	J	`jnl`	Fusion of Algorithms for Compressed Sensing. IEEE Trans. Signal Process. Sooraj K. Ambat, Saikat Chatterjee, K. V. S. Hari
2013	Misc	`conf`	Fusion of algorithms for Compressed Sensing. ICASSP Sooraj K. Ambat, Saikat Chatterjee, K. V. S. Hari
2013	Misc	`conf`	Iteratively reweighted least squares for reconstruction of low-rank matrices with linear structure. ICASSP Dave Zachariah, Saikat Chatterjee, Magnus Jansson
2013	J	`jnl`	Line Spectrum Estimation with Probabilistic Priors. CoRR Dave Zachariah, Petter Wirfält, Magnus Jansson, Saikat Chatterjee
2013	J	`jnl`	Line spectrum estimation with probabilistic priors. Signal Process. Dave Zachariah, Petter Wirfält, Magnus Jansson, Saikat Chatterjee
2013	—	`conf`	Parallel pursuit for distributed compressed sensing. GlobalSIP Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2013	Misc	`conf`	Pilot design for MIMO channel estimation: An alternative to the Kronecker structure assumption. ICASSP John T. Flåm, Emil Björnson, Saikat Chatterjee
2013	J	`jnl`	Statistical Mechanics Approach to Sparse Noise Denoising CoRR Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee
2013	—	`conf`	Statistical mechanics approach to sparse noise denoising. EUSIPCO Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee
2013	J	`jnl`	The Linear Model Under Mixed Gaussian Inputs: Designing the Transfer Matrix. IEEE Trans. Signal Process. John T. Flåm, Dave Zachariah, Mikko Vehkaperä, Saikat Chatterjee
2012	Misc	`conf`	A greedy pursuit algorithm for distributed compressed sensing. ICASSP Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2012	J	`jnl`	Alternating Least-Squares for Low-Rank Matrix Reconstruction. IEEE Signal Process. Lett. Dave Zachariah, Martin Sundin, Magnus Jansson, Saikat Chatterjee
2012	J	`jnl`	Analysis of MMSE Estimation for Compressive Sensing of Block Sparse Signals CoRR Mikko Vehkaperä, Saikat Chatterjee, Mikael Skoglund
2012	J	`jnl`	Analysis of Sparse Representations Using Bi-Orthogonal Dictionaries CoRR Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee, Erik Aurell, Mikael Skoglund, Lars K. Rasmussen
2012	B	`conf`	Analysis of sparse representations using bi-orthogonal dictionaries. ITW Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee, Erik Aurell, Mikael Skoglund, Lars K. Rasmussen
2012	Misc	`conf`	Detection of sparse random signals using compressive measurements. ICASSP Bhavani Shankar Mysore Rama Rao, Saikat Chatterjee, Björn E. Ottersten
2012	J	`jnl`	Dynamic Iterative Pursuit. IEEE Trans. Signal Process. Dave Zachariah, Saikat Chatterjee, Magnus Jansson
2012	Misc	`conf`	Dynamic subspace pursuit. ICASSP Dave Zachariah, Saikat Chatterjee, Magnus Jansson
2012	—	`conf`	FROGS: A serial reversible greedy search algorithm. Swe-CTW Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2012	—	`conf`	Fusion of Greedy Pursuits for compressed sensing signal reconstruction. EUSIPCO Sooraj K. Ambat, Saikat Chatterjee, K. V. S. Hari
2012	J	`jnl`	Fusion of Matching Pursuits for Compressed Sensing Signal Reconstruction CoRR Sooraj K. Ambat, Saikat Chatterjee, K. V. S. Hari
2012	J	`jnl`	On MMSE Estimation: A Linear Model Under Gaussian Mixture Statistics. IEEE Trans. Signal Process. John T. Flåm, Saikat Chatterjee, Kimmo Kansanen, Torbjörn Ekman
2012	C	`conf`	Performance bounds for vector quantized compressive sensing. ISITA Amirpasha Shirazinia, Saikat Chatterjee, Mikael Skoglund
2012	J	`jnl`	Projection-Based and Look-Ahead Strategies for Atom Selection. IEEE Trans. Signal Process. Saikat Chatterjee, Dennis Sundman, Mikko Vehkaperä, Mikael Skoglund
2012	J	`jnl`	Typical l CoRR Yoshiyuki Kabashima, Mikko Vehkaperä, Saikat Chatterjee
2011	B	`conf`	Analysis of MMSE estimation for compressive sensing of block sparse signals. ITW Mikko Vehkaperä, Saikat Chatterjee, Mikael Skoglund
2011	J	`jnl`	Auditory Model-Based Design and Optimization of Feature Vectors for Automatic Speech Recognition. IEEE Trans. Speech Audio Process. Saikat Chatterjee, W. Bastiaan Kleijn
2011	Misc	`conf`	Gaussian mixture modeling for source localization. ICASSP John T. Flåm, Joakim Jaldén, Saikat Chatterjee
2011	—	`conf`	Greedy pursuits for compressed sensing of jointly sparse signals. EUSIPCO Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2011	—	`conf`	Hybrid greedy pursuit. EUSIPCO Saikat Chatterjee, Dennis Sundman, Mikko Vehkaperä, Mikael Skoglund
2011	Misc	`conf`	Look ahead orthogonal matching pursuit. ICASSP Saikat Chatterjee, Dennis Sundman, Mikael Skoglund
2011	—	`conf`	Look ahead parallel pursuit. Swe-CTW Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2011	J	`jnl`	Projection-Based and Look Ahead Strategies for Atom Selection CoRR Saikat Chatterjee, Dennis Sundman, Mikko Vehkaperä, Mikael Skoglund
2010	C	`conf`	A ratification of means: international law and assistive technology in the developing world. ICTD Joyojeet Pal, Anjali Vartak, Vrutti Vyas, Saikat Chatterjee, Nektarios Paisios, Rahul Cherian
2010	Misc	`conf`	Auditory model based modified MFCC features. ICASSP Saikat Chatterjee, W. Bastiaan Kleijn
2010	—	`conf`	On the use of compressive sampling for wide-band spectrum sensing. ISSPIT Dennis Sundman, Saikat Chatterjee, Mikael Skoglund
2010	Misc	`conf`	Selecting static and dynamic features using an advanced auditory model for speech recognition. ICASSP Christos Koniaris, Saikat Chatterjee, W. Bastiaan Kleijn
2010	—	`conf`	Statistical post-processing improves basis pursuit denoising performance. ISSPIT Saikat Chatterjee, Dennis Sundman, Mikael Skoglund
2010	—	`conf`	Structured Gaussian mixture model based product VQ. EUSIPCO Saikat Chatterjee, Mikael Skoglund
2009	Misc	`conf`	Analysis-by-synthesis based switched transform domain split VQ using Gaussian mixture model. ICASSP Saikat Chatterjee, Thippur V. Sreenivas
2009	A	`conf`	Auditory model based optimization of MFCCs improves automatic speech recognition performance. INTERSPEECH Saikat Chatterjee, Christos Koniaris, W. Bastiaan Kleijn
2009	J	`jnl`	Reduced complexity two stage vector quantization. Digit. Signal Process. Saikat Chatterjee, Thippur V. Sreenivas
2008	Misc	`conf`	GMM based Bayesian approach to speech enhancement in signal / transform domain. ICASSP Achintya Kundu, Saikat Chatterjee, A. Sreenivasa Murthy, T. V. Sreenivas
2008	—	`conf`	Low complexity wideband LSF quantization using GMM of uncorrelated Gaussian mixtures. EUSIPCO Saikat Chatterjee, Thippur V. Sreenivas
2008	J	`jnl`	Optimum Transform Domain Split VQ. IEEE Signal Process. Lett. Saikat Chatterjee, Thippur V. Sreenivas
2008	J	`jnl`	Optimum switched split vector quantization of LSF parameters. Signal Process. Saikat Chatterjee, T. V. Sreenivas
2008	J	`jnl`	Predicting VQ Performance Bound for LSF Coding. IEEE Signal Process. Lett. Saikat Chatterjee, Thippur V. Sreenivas
2008	—	`conf`	Speech enhancement using intra-frame dependency in DCT domain. EUSIPCO Achintya Kundu, Saikat Chatterjee, Thippur V. Sreenivas
2008	A	`conf`	Subspace based speech enhancement using Gaussian mixture model. INTERSPEECH Achintya Kundu, Saikat Chatterjee, T. V. Sreenivas
2008	J	`jnl`	Switched Conditional PDF-Based Split VQ Using Gaussian Mixture Model. IEEE Signal Process. Lett. Saikat Chatterjee, Thippur V. Sreenivas
2007	J	`jnl`	Analysis of Conditional PDF-Based Split VQ. IEEE Signal Process. Lett. Saikat Chatterjee, Thippur V. Sreenivas
2007	—	`conf`	Computationally efficient optimum weighting function for vector quantization of LSF parameters. ISSPA Saikat Chatterjee, Thippur V. Sreenivas
2007	J	`jnl`	Conditional PDF-Based Split Vector Quantization of Wideband LSF Parameters. IEEE Signal Process. Lett. Saikat Chatterjee, Thippur V. Sreenivas
2007	—	`conf`	Joint inter-frame and intra-frame predictive coding of LSF parameters. ISSPA Saikat Chatterjee, Thippur V. Sreenivas
2007	A	`conf`	Normalized two stage SVQ for minimum complexity wide-band LSF quantization. INTERSPEECH Saikat Chatterjee, Thippur V. Sreenivas
2007	—	`conf`	Sequential Split Vector Quantization of LSF Parameters using Conditional Pdf. ICASSP (4) Saikat Chatterjee, Thippur V. Sreenivas
2006	A	`conf`	Comparison of prediction based LSF quantization methods using split VQ. INTERSPEECH Saikat Chatterjee, T. V. Sreenivas
2006	A	`conf`	Two stage transform vector quantization of LSFs for wideband speech coding. INTERSPEECH Saikat Chatterjee, T. V. Sreenivas