Debasis Sengupta

21 papers A 1Misc 4Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2023 — conf
Detection of Anomalous Behaviour of Aircraft Engines for Predictive Maintenance.
ICSRS
Sudipta Das, Debasis Sengupta, Rameshkumar Chandrasekharan, Srirup Mitra
2019 J jnl
Optimum release time of a software under periodic debugging schedule.
Commun. Stat. Simul. Comput.
Sudipta Das, Debasis Sengupta, Anup Dewanji
2017 J jnl
Estimation of reliability with semi-parametric modeling of degradation.
Comput. Stat. Data Anal.
Prajamitra Bhuyan, Debasis Sengupta
2017 J jnl
Testing the hypothesis of increasing hazard ratio in two samples.
Comput. Stat. Data Anal.
Shyamsundar Sahoo, Debasis Sengupta
2015 J jnl
Regression under Cox's model for recall-based time-to-event data in observational studies.
Comput. Stat. Data Anal.
Sedigheh Mirzaei Salehabadi, Debasis Sengupta
2013 J jnl
Analysis of an M/M/1+G queue operated under the FCFS policy with exact admission control.
Queueing Syst. Theory Appl.
Sudipta Das, Lawrence Jenkins, Debasis Sengupta
2013 J jnl
Loss ratio of the EDF scheduling policy with early discarding technique.
Inf. Process. Lett.
Sudipta Das, Lawrence Jenkins, Debasis Sengupta
2012 A conf
Testing for Membership to the IFRA and the NBU Classes of Distributions.
AISTATS
Radhendushka Srivastava, Ping Li, Debasis Sengupta
2011 J jnl
Comparison of Loss ratios of different scheduling algorithms
CoRR
Sudipta Das, Lawrence Jenkins, Debasis Sengupta
2011 J jnl
Effect of Inter-Sample Spacing Constraint on Spectrum Estimation with Irregular Sampling.
IEEE Trans. Inf. Theory
Radhendushka Srivastava, Debasis Sengupta
2010 J jnl
Consistent estimation of non-bandlimited spectral density from uniformly spaced samples.
IEEE Trans. Inf. Theory
Radhendushka Srivastava, Debasis Sengupta
2009 — conf
A robust technique for motion correction in fMRI.
DPS
Sarbani Palit, Debasis Sengupta, Mohammad Ali
2006 J jnl
Classification Using Kernel Density Estimates - Multiscale Analysis and Visualization.
Technometrics
Anil Kumar Ghosh, Probal Chaudhuri, Debasis Sengupta
2005 Misc conf
Characterization of a Solid State DNA Nanopore Sequencer Using Multi-scale (Nano-to-Device) Modeling.
International Conference on Computational Science (3)
Jerry Jenkins, Debasis Sengupta, Shankar Sundaram
1994 — conf
Arrival angle estimation in non-Gaussian noise.
ICASSP (4)
Debasis Sengupta, Sarbani Palit
1993 J jnl
Detection in incompletely characterized colored non-Gaussian noise via parametric modeling.
IEEE Trans. Signal Process.
Steven M. Kay, Debasis Sengupta
1990 J jnl
Parameter estimation and GLRT detection in colored non-Gaussian autoregressive processes.
IEEE Trans. Acoust. Speech Signal Process.
Debasis Sengupta, Steven M. Kay
1989 J jnl
Efficient estimation of parameters for non-Gaussian autoregressive processes.
IEEE Trans. Acoust. Speech Signal Process.
Debasis Sengupta, Steven M. Kay
1988 Misc conf
Computationally efficient tracking of multiple targets by probabilistic data association using neural networks.
ICASSP
Debasis Sengupta, Ronald A. Iltis
1987 Misc conf
Optimal detection in colored non-Gaussian noise with unknown parameters.
ICASSP
Steven Kay, Debasis Sengupta
1987 Misc conf
Statistically/Computationally efficient estimation of non-Gaussian autoregressive processes.
ICASSP
Steven Kay, Debasis Sengupta