Debasis Sengupta - researchr alias

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2023

Detection of Anomalous Behaviour of Aircraft Engines for Predictive MaintenanceSudipta Das, Debasis Sengupta, Rameshkumar Chandrasekharan, Srirup Mitra. icsrs 2023: 423-427 [doi]

2019

Optimum release time of a software under periodic debugging scheduleSudipta Das, Debasis Sengupta, Anup Dewanji. cssc, 48(5):1516-1534, 2019. [doi]

2017

Estimation of reliability with semi-parametric modeling of degradationPrajamitra Bhuyan, Debasis Sengupta. csda, 115:172-185, 2017. [doi]

Testing the hypothesis of increasing hazard ratio in two samplesShyamsundar Sahoo, Debasis Sengupta. csda, 114:119-129, 2017. [doi]

2015

Regression under Cox's model for recall-based time-to-event data in observational studiesSedigheh Mirzaei Salehabadi, Debasis Sengupta. csda, 92:134-147, 2015. [doi]

2013

Loss ratio of the EDF scheduling policy with early discarding techniqueSudipta Das, Lawrence Jenkins, Debasis Sengupta. ipl, 113(5-6):165-170, 2013. [doi]

Analysis of an M/M/1+G queue operated under the FCFS policy with exact admission controlSudipta Das, Lawrence Jenkins, Debasis Sengupta. questa, 75(2-4):169-188, 2013. [doi]

2012

Testing for Membership to the IFRA and the NBU Classes of DistributionsRadhendushka Srivastava, Ping Li 0001, Debasis Sengupta. jmlr, 22:1099-1107, 2012. [doi]

2011

Effect of Inter-Sample Spacing Constraint on Spectrum Estimation with Irregular SamplingRadhendushka Srivastava, Debasis Sengupta. TIT, 57(7):4709-4719, 2011. [doi]

2010

Consistent estimation of non-bandlimited spectral density from uniformly spaced samplesRadhendushka Srivastava, Debasis Sengupta. TIT, 56(8):3642-3659, 2010. [doi]

2009

A robust technique for motion correction in fMRISarbani Palit, Debasis Sengupta, Mohammad Ali. icdsp 2009: 1-6 [doi]

2006

Classification Using Kernel Density Estimates - Multiscale Analysis and VisualizationAnil K. Ghosh, Probal Chaudhuri, Debasis Sengupta. technometrics, 48(1):120-132, 2006. [doi]

2005

Characterization of a Solid State DNA Nanopore Sequencer Using Multi-scale (Nano-to-Device) ModelingJerry Jenkins, Debasis Sengupta, Shankar Sundaram. iccS 2005: 309-316 [doi]

1994

Arrival angle estimation in non-Gaussian noiseDebasis Sengupta, Sarbani Palit. icassp 1994: 221-224 [doi]

1993

Detection in incompletely characterized colored non-Gaussian noise via parametric modelingSteven M. Kay, Debasis Sengupta. tsp, 41(10):3066-3070, 1993. [doi]

1990

Parameter estimation and GLRT detection in colored non-Gaussian autoregressive processesDebasis Sengupta, Steven M. Kay. tsp, 38(10):1661-1676, 1990. [doi]

1989

Efficient estimation of parameters for non-Gaussian autoregressive processesDebasis Sengupta, Steven M. Kay. tsp, 37(6):785-794, 1989. [doi]

1988

Computationally efficient tracking of multiple targets by probabilistic data association using neural networksDebasis Sengupta, Ronald A. Iltis. icassp 1988: 2152-2155 [doi]

1987

Optimal detection in colored non-Gaussian noise with unknown parametersSteven Kay, Debasis Sengupta. icassp 1987: 1087-1090 [doi]

Statistically/Computationally efficient estimation of non-Gaussian autoregressive processesSteven Kay, Debasis Sengupta. icassp 1987: 45-48 [doi]

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