| Direction-of-Arrival Estimation Using a Mixed Norm Approximation MM Hyder, K Mahata IEEE Transactions on Signal processing 58 (9), 4646-4655, 2010 | 408 | 2010 |
| Perspectives on errors-in-variables estimation for dynamic systems T Söderström, U Soverini, K Mahata Signal Processing 82 (8), 1139-1154, 2002 | 148 | 2002 |
| An Improved Smoothed Approximation Algorithm for Sparse Representation MM Hyder, K Mahata IEEE transactions on Signal Processing 58 (4), 2194-2205, 2010 | 124 | 2010 |
| An approximate l0 norm minimization algorithm for compressed sensing M Hyder, K Mahata 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 85 | 2009 |
| A robust algorithm for joint-sparse recovery MM Hyder, K Mahata IEEE Signal Processing Letters 16 (12), 1091-1094, 2009 | 73 | 2009 |
| On instrumental variable and total least squares approaches for identification of noisy systems T Söderström, K Mahata International Journal of Control 75 (6), 381-389, 2002 | 70 | 2002 |
| Identification of continuous-time errors-in-variables models K Mahata, H Garnier Automatica 42 (9), 1477-1490, 2006 | 57 | 2006 |
| Zadoff–Chu sequence design for random access initial uplink synchronization in LTE-like systems M Hyder, K Mahata IEEE Transactions on Wireless Communications 16 (1), 503-511, 2016 | 49 | 2016 |
| ESPRIT-like estimation of real-valued sinusoidal frequencies K Mahata, T Soderstrom IEEE transactions on signal processing 52 (5), 1161-1170, 2004 | 43 | 2004 |
| An improved bias-compensation approach for errors-in-variables model identification K Mahata Automatica 43 (8), 1339-1354, 2007 | 42 | 2007 |
| Identification of dynamic errors-in-variables models: Approaches based on two-dimensional ARMA modeling of the data T Söderström, K Mahata, U Soverini Automatica 39 (5), 929-935, 2003 | 39 | 2003 |
| Linear LMS compensation for timing mismatch in time-interleaved ADCs D Marelli, K Mahata, M Fu IEEE Transactions on Circuits and Systems I: Regular Papers 56 (11), 2476-2486, 2009 | 37 | 2009 |
| Information matrix and D-optimal design with Gaussian inputs for Wiener model identification K Mahata, J Schoukens, A De Cock Automatica 69, 65-77, 2016 | 33 | 2016 |
| Using continuous-time modeling for errors-in-variables identification T Söderström, E Larsson, K Mahata, M Mossberg IFAC Proceedings Volumes 39 (1), 428-433, 2006 | 31 | 2006 |
| Improved estimation performance using known linear constraints K Mahata, T Söderström Automatica 40 (8), 1307-1318, 2004 | 31 | 2004 |
| Selecting differentially expressed genes using minimum probability of classification error P Mahata, K Mahata Journal of Biomedical informatics 40 (6), 775-786, 2007 | 29 | 2007 |
| Direct tip-sample force estimation for high-speed dynamic mode atomic force microscopy KS Karvinen, MG Ruppert, K Mahata, SOR Moheimani IEEE Transactions on Nanotechnology 13 (6), 1257-1265, 2014 | 28 | 2014 |
| Spectrum estimation, notch filters, and MUSIC K Mahata IEEE transactions on signal processing 53 (10), 3727-3737, 2005 | 25 | 2005 |
| Grid-less TV minimization for DOA estimation K Mahata, MM Hyder Signal Processing 132, 155-164, 2017 | 24 | 2017 |
| Subspace fitting approaches for frequency estimation using real-valued data K Mahata IEEE transactions on signal processing 53 (8), 3099-3110, 2005 | 24 | 2005 |
