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Found 13 papers, 0 papers with code
Physical Layer Authentication Using Information Reconciliation
Furthermore, the computational complexity of classical cryptographic approaches based on public key distribution can be a limiting factor for using in simple, low-end Internet of things (IoT) devices.
State Machine-based Waveforms for Channels With 1-Bit Quantization and Oversampling With Time-Instance Zero-Crossing Modulation
In this work, we propose a practical waveform design based on the established TI ZX modulation for a multiuser multi-input multi-output (MIMO) downlink scenario with 1-bit quantization and temporal oversampling at the receivers.
Multiuser-MIMO Systems Using Comparator Network-Aided Receivers With 1-Bit Quantization
We propose low-resolution multiuser MIMO receivers where the signals are simultaneously processed by 1-bit ADCs and a comparator network, which can be interpreted as additional virtual channels with binary outputs.
Study of General Robust Subband Adaptive Filtering
In this paper, we propose a general robust subband adaptive filtering (GR-SAF) scheme against impulsive noise by minimizing the mean square deviation under the random-walk model with individual weight uncertainty.
Design and Analysis of Robust Resilient Diffusion over Multi-Task Networks Against Byzantine Attacks
This paper studies distributed diffusion adaptation over clustered multi-task networks in the presence of impulsive interferences and Byzantine attacks.
Sparsity-Aware Robust Normalized Subband Adaptive Filtering algorithms based on Alternating Optimization
This paper proposes a unified sparsity-aware robust normalized subband adaptive filtering (SA-RNSAF) algorithm for identification of sparse systems under impulsive noise.
Conjugate Gradient Adaptive Learning with Tukey's Biweight M-Estimate
We propose a novel M-estimate conjugate gradient (CG) algorithm, termed Tukey's biweight M-estimate CG (TbMCG), for system identification in impulsive noise environments.
Active noise control techniques for nonlinear systems
Most of the literature focuses on the development of the linear active noise control (ANC) techniques.
A survey on active noise control techniques -- Part I: Linear systems
Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic or electromechanical systems.
Study of Proximal Normalized Subband Adaptive Algorithm for Acoustic Echo Cancellation
In addition, an adaptive approach for the choice of the thresholding parameter in the proximal step is also proposed based on the minimization of the mean square deviation.
Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling
The DFT coefficients corresponding to the angles within the noise-plus-interference region are used to reconstruct the noise-plus-interference covariance matrix (NPICM), while the desired signal covariance matrix (DSCM) is estimated by identifying and removing the noise-plus-interference component from the SCM.
Secrecy Rate Maximization for Hardware Impaired Untrusted Relaying Network with Deep Learning
To satisfy low-latency as one of the main key performance indicators (KPI) required in beyond 5G (B5G) communications, a computationally efficient data-driven approach is developed exploiting a deep learning model to improve the ASR while the computational burden is significantly reduced.
Sparsity-Aware SSAF Algorithm with Individual Weighting Factors for Acoustic Echo Cancellation
In this paper, we propose and analyze the sparsity-aware sign subband adaptive filtering with individual weighting factors (S-IWF-SSAF) algorithm, and consider its application in acoustic echo cancellation (AEC).
