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ORCIDDebasis Sengupta
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2020 – today
- 2023
[c8]Sudipta Das, Debasis Sengupta, Rameshkumar Chandrasekharan, Srirup Mitra:
Detection of Anomalous Behaviour of Aircraft Engines for Predictive Maintenance. ICSRS 2023: 423-427
2010 – 2019
- 2019
- [j12]Sudipta Das, Debasis Sengupta, Anup Dewanji:
Optimum release time of a software under periodic debugging schedule. Commun. Stat. Simul. Comput. 48(5): 1516-1534 (2019) - 2017
- [j11]Shyamsundar Sahoo, Debasis Sengupta:
Testing the hypothesis of increasing hazard ratio in two samples. Comput. Stat. Data Anal. 114: 119-129 (2017) - [j10]Prajamitra Bhuyan
, Debasis Sengupta:
Estimation of reliability with semi-parametric modeling of degradation. Comput. Stat. Data Anal. 115: 172-185 (2017) - 2015
- [j9]Sedigheh Mirzaei Salehabadi, Debasis Sengupta:
Regression under Cox's model for recall-based time-to-event data in observational studies. Comput. Stat. Data Anal. 92: 134-147 (2015) - 2013
- [j8]Sudipta Das, Lawrence Jenkins, Debasis Sengupta:
Loss ratio of the EDF scheduling policy with early discarding technique. Inf. Process. Lett. 113(5-6): 165-170 (2013) - [j7]Sudipta Das, Lawrence Jenkins, Debasis Sengupta:
Analysis of an M/M/1+G queue operated under the FCFS policy with exact admission control. Queueing Syst. Theory Appl. 75(2-4): 169-188 (2013) - 2012
- [c7]Radhendushka Srivastava, Ping Li, Debasis Sengupta:
Testing for Membership to the IFRA and the NBU Classes of Distributions. AISTATS 2012: 1099-1107 - 2011
- [j6]Radhendushka Srivastava, Debasis Sengupta:
Effect of Inter-Sample Spacing Constraint on Spectrum Estimation with Irregular Sampling. IEEE Trans. Inf. Theory 57(7): 4709-4719 (2011) - [i1]Sudipta Das, Lawrence Jenkins, Debasis Sengupta:
Comparison of Loss ratios of different scheduling algorithms. CoRR abs/1101.1466 (2011) - 2010
- [j5]Radhendushka Srivastava, Debasis Sengupta:
Consistent estimation of non-bandlimited spectral density from uniformly spaced samples. IEEE Trans. Inf. Theory 56(8): 3642-3659 (2010)
2000 – 2009
- 2009
- [c6]Sarbani Palit, Debasis Sengupta, Mohammad Ali:
A robust technique for motion correction in fMRI. DPS 2009: 1-6 - 2006
- [j4]Anil Kumar Ghosh, Probal Chaudhuri, Debasis Sengupta:
Classification Using Kernel Density Estimates - Multiscale Analysis and Visualization. Technometrics 48(1): 120-132 (2006) - 2005
- [c5]Jerry Jenkins, Debasis Sengupta, Shankar Sundaram:
Characterization of a Solid State DNA Nanopore Sequencer Using Multi-scale (Nano-to-Device) Modeling. International Conference on Computational Science (3) 2005: 309-316
1990 – 1999
- 1994
- [c4]Debasis Sengupta, Sarbani Palit:
Arrival angle estimation in non-Gaussian noise. ICASSP (4) 1994: 221-224 - 1993
- [j3]Steven M. Kay, Debasis Sengupta:
Detection in incompletely characterized colored non-Gaussian noise via parametric modeling. IEEE Trans. Signal Process. 41(10): 3066-3070 (1993) - 1990
- [j2]Debasis Sengupta, Steven M. Kay:
Parameter estimation and GLRT detection in colored non-Gaussian autoregressive processes. IEEE Trans. Acoust. Speech Signal Process. 38(10): 1661-1676 (1990)
1980 – 1989
- 1989
- [j1]Debasis Sengupta, Steven M. Kay:
Efficient estimation of parameters for non-Gaussian autoregressive processes. IEEE Trans. Acoust. Speech Signal Process. 37(6): 785-794 (1989) - 1988
- [c3]Debasis Sengupta, Ronald A. Iltis:
Computationally efficient tracking of multiple targets by probabilistic data association using neural networks. ICASSP 1988: 2152-2155 - 1987
- [c2]Steven Kay, Debasis Sengupta:
Statistically/Computationally efficient estimation of non-Gaussian autoregressive processes. ICASSP 1987: 45-48 - [c1]Steven Kay, Debasis Sengupta:
Optimal detection in colored non-Gaussian noise with unknown parameters. ICASSP 1987: 1087-1090
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