Amrita Mishra

According to our database1, Amrita Mishra authored at least 23 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Sparse Bayesian Learning Aided Estimation of Doubly-Selective MIMO Channels for Filter Bank Multicarrier Systems.
IEEE Trans. Commun., 2022

Fast Beam Search with Two-Level Phased Array in Millimeter-Wave Massive MIMO : A Hierarchical Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Optimal Training Design for Channel Estimation in MIMO Single/Multi Carrier Block Transmission Systems.
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

2021
Workflow scheduling optimisation for distributed environment using artificial neural networks and reinforcement learning.
Int. J. Comput. Sci. Eng., 2021

RoBINN: Robust Bird Species Identification using Neural Network.
Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications, 2021

2020
Sparse Doubly-Selective Channel Estimation Techniques for OSTBC MIMO-OFDM Systems: A Hierarchical Bayesian Kalman Filter Based Approach.
IEEE Trans. Commun., 2020

Sparse Bayesian Learning-Aided Joint Sparse Channel Estimation and ML Sequence Detection in Space-Time Trellis Coded MIMO-OFDM Systems.
IEEE Trans. Commun., 2020

Path Loss Prediction in Smart Campus Environment: Machine Learning-based Approaches.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Expectation Maximization (EM)-based Joint Channel Estimation and Symbol Detection in Doubly Selective Block Transmission Systems.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

SBL-Based Hybrid Precoder/ Combiner Design for Power and Spectrally Efficient Millimeter Wave MIMO Systems.
Proceedings of the International Conference on Signal Processing and Communications, 2020

Sparse Kalman Filtering (SKF) Aided Doubly-Selective Channel Estimation in STTC MIMO-OFDM Systems.
Proceedings of the International Conference on Signal Processing and Communications, 2020

Classification of Social Signals Using Deep LSTM-based Recurrent Neural Networks.
Proceedings of the International Conference on Signal Processing and Communications, 2020

2019
Quasi-Static and Time-Selective Channel Estimation for Block-Sparse Millimeter Wave Hybrid MIMO Systems: Sparse Bayesian Learning (SBL) Based Approaches.
IEEE Trans. Signal Process., 2019

2018
SBL-Based Joint Sparse Channel Estimation and Maximum Likelihood Symbol Detection in OSTBC MIMO-OFDM Systems.
IEEE Trans. Veh. Technol., 2018

Sparse Bayesian Learning-Based Target Imaging and Parameter Estimation for Monostatic MIMO Radar Systems.
IEEE Access, 2018

2017
Sparse Bayesian learning-based channel estimation in millimeter wave hybrid MIMO systems.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

2016
SBL-Based GLRT for Spectrum Sensing in OFDMA-Based Cognitive Radio Networks.
IEEE Commun. Lett., 2016

SBL-based joint target imaging and Doppler frequency estimation in monostatic MIMO radar systems.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

SBL-Based Joint Channel Estimation and ML Sequence Detection in STTC MIMO-OFDM Systems.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2014
Random Parameter EM-Based Kalman Filter (REKF) for Joint Symbol Detection and Channel Estimation in Fast Fading STTC MIMO Systems.
IEEE Signal Process. Lett., 2014

2013
Optimal random parameter EM based Kalman filter (REKF) for fast fading MIMO channel estimation.
Proceedings of the Australasian Telecommunication Networks and Applications Conference, 2013

2010
Requirements Certification for Offshoring Using LSPCM.
Proceedings of the Quality of Information and Communications Technology, 2010

DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010


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