L.B. White

Iterative Adaptive Approaches to MIMO Radar Imaging

D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D Collaboration

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Deep Learning in Mobile and Wireless Networking: A Survey

Comparison between two model-based algorithms for Li-ion battery SOC estimation in electric vehicles

A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation

Towards Smart Farming and Sustainable Agriculture with Drones

Survey on speech emotion recognition: Features, classification schemes, and databases

The foundations of set theoretic estimation

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Hidden Markov processes

Measurement of Instantaneous Shaft Speed by Advanced Vibration Signal Processing - Application to Wind Turbine Gearbox

An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges

Three-dimensional super-resolution with a 4Pi-confocal microscope using image restoration

Stochastic Joint Radio and Computational Resource Management for Multi-User Mobile-Edge Computing Systems

Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications

Deblurring subject to nonnegativity constraints

Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation

Target detection and parameter estimation for MIMO radar systems

Signal Recovery by Proximal Forward-Backward Splitting

A reduced-complexity online state sequence and parameter estimator for superimposed convolutional coded signals

Cooperative resource allocation games in shared networks: symmetric and asymmetric fair bargaining models

Lumpable hidden Markov models-model reduction and reduced complexity filtering

Robust extended Kalman filtering

The wide-band ambiguity function and Altes' Q-distribution: constrained synthesis and time-scale filtering

Spatial filtering of superimposed convolutional coded signals

Cartesian hidden Markov models with applications

Instantaneous frequency estimation and automatic time-varying filtering

Signal design for MIMO diversity systems

On the convergence of the estimated posterior density weighted algorithm

Reinforcement Learning With Network-Assisted Feedback for Heterogeneous RAT Selection