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Found 5 papers, 1 papers with code
Optimal Pilot Design for OTFS in Linear Time-Varying Channels
This paper investigates the positioning of the pilot symbols, as well as the power distribution between the pilot and the communication symbols in the OTFS modulation scheme.
Privacy-Preserving Distributed Optimisation using Stochastic PDMM
The main idea is to exploit a certain structure in the update equations for noise insertion such that the private data is protected without compromising the algorithm's accuracy.
Sensor Selection using the Two-Target Cramér-Rao Bound for Angle of Arrival Estimation
Sensor selection is a useful method to help reduce data throughput, as well as computational, power, and hardware requirements, while still maintaining acceptable performance.
Localization based on enhanced low frequency interaural level difference
In addition, a beamformer is introduced and analyzed, which enhances the low-frequency interaural level differences of the sound sources using a near-field transformation.
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework
We therefore propose to insert noise in the non-convergent subspace through the dual variable such that the private data are protected, and the accuracy of the desired solution is completely unaffected.
