Debasis Sengupta

According to our database, Debasis Sengupta authored at least 21 papers between 1987 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Detection of Anomalous Behaviour of Aircraft Engines for Predictive Maintenance.

Sudipta Das, Debasis Sengupta, Rameshkumar Chandrasekharan, Srirup Mitra

Proceedings of the 7th International Conference on System Reliability and Safety, 2023

2019

Optimum release time of a software under periodic debugging schedule.

Sudipta Das, Debasis Sengupta, Anup Dewanji

Commun. Stat. Simul. Comput., 2019

2017

Testing the hypothesis of increasing hazard ratio in two samples.

Shyamsundar Sahoo, Debasis Sengupta

Comput. Stat. Data Anal., 2017

Estimation of reliability with semi-parametric modeling of degradation.

Prajamitra Bhuyan, Debasis Sengupta

Comput. Stat. Data Anal., 2017

2015

Regression under Cox's model for recall-based time-to-event data in observational studies.

Sedigheh Mirzaei Salehabadi, Debasis Sengupta

Comput. Stat. Data Anal., 2015

2013

Analysis of an M/M/1+G queue operated under the FCFS policy with exact admission control.

Sudipta Das, Lawrence Jenkins, Debasis Sengupta

Queueing Syst. Theory Appl., 2013

Loss ratio of the EDF scheduling policy with early discarding technique.

Sudipta Das, Lawrence Jenkins, Debasis Sengupta

Inf. Process. Lett., 2013

2012

Testing for Membership to the IFRA and the NBU Classes of Distributions.

Radhendushka Srivastava, Ping Li, Debasis Sengupta

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Effect of Inter-Sample Spacing Constraint on Spectrum Estimation with Irregular Sampling.

Radhendushka Srivastava, Debasis Sengupta

IEEE Trans. Inf. Theory, 2011

Comparison of Loss ratios of different scheduling algorithms

Sudipta Das, Lawrence Jenkins, Debasis Sengupta

CoRR, 2011

2010

Consistent estimation of non-bandlimited spectral density from uniformly spaced samples.

Radhendushka Srivastava, Debasis Sengupta

IEEE Trans. Inf. Theory, 2010

2009

A robust technique for motion correction in fMRI.

Sarbani Palit, Debasis Sengupta, Mohammad Ali

Proceedings of the 16th International Conference on Digital Signal Processing, 2009

2006

Classification Using Kernel Density Estimates - Multiscale Analysis and Visualization.

Anil Kumar Ghosh, Probal Chaudhuri, Debasis Sengupta

Technometrics, 2006

2005

Characterization of a Solid State DNA Nanopore Sequencer Using Multi-scale (Nano-to-Device) Modeling.

Jerry Jenkins, Debasis Sengupta, Shankar Sundaram

Proceedings of the Computational Science, 2005

1994

Arrival angle estimation in non-Gaussian noise.

Debasis Sengupta, Sarbani Palit

Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993

Detection in incompletely characterized colored non-Gaussian noise via parametric modeling.

Steven M. Kay, Debasis Sengupta

IEEE Trans. Signal Process., 1993

1990

Parameter estimation and GLRT detection in colored non-Gaussian autoregressive processes.

Debasis Sengupta, Steven M. Kay

IEEE Trans. Acoust. Speech Signal Process., 1990

1989

Efficient estimation of parameters for non-Gaussian autoregressive processes.

Debasis Sengupta, Steven M. Kay

IEEE Trans. Acoust. Speech Signal Process., 1989

1988

Computationally efficient tracking of multiple targets by probabilistic data association using neural networks.

Debasis Sengupta, Ronald A. Iltis

Proceedings of the IEEE International Conference on Acoustics, 1988

1987

Optimal detection in colored non-Gaussian noise with unknown parameters.

Steven Kay, Debasis Sengupta

Proceedings of the IEEE International Conference on Acoustics, 1987

Statistically/Computationally efficient estimation of non-Gaussian autoregressive processes.

Steven Kay, Debasis Sengupta

Proceedings of the IEEE International Conference on Acoustics, 1987