Sparsity-Aware Channel Estimation for Fully Passive RIS-Based Wireless Communications: Theory to Experiments
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3229768
Abstract: This article proposes a sparsity-aware channel estimation scheme for reconfigurable intelligent surface (RIS)-assisted wireless communications. We present an angular domain-channel sparsity model in a closed-form mathematical expression. A comprehensive formulation of the RIS channel estimation… read more here.
Keywords: sparsity aware; channel estimation; ris; channel ... See more keywords
A 108-nW 0.8-mm2 Analog Voice Activity Detector Featuring a Time-Domain CNN With Sparsity-Aware Computation and Sparsified Quantization in 28-nm CMOS
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2022.3191008
Abstract: This article reports a passive analog feature extractor for realizing an area-and-power-efficient voice activity detector (VAD) for voice-control edge devices. It features a switched-capacitor circuit as the time-domain convolutional neural network (TD-CNN) that extracts the… read more here.
Keywords: voice activity; sparsity aware; activity detector; voice ... See more keywords
Robust Sparsity-Aware RLS Algorithms With Jointly-Optimized Parameters Against Impulsive Noise
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3166395
Abstract: This paper proposes a unified sparsity-aware robust recursive least-squares RLS (S-RRLS) algorithm for the identification of sparse systems under impulsive noise. The proposed algorithm generalizes multiple algorithms only by replacing the specified criterion of robustnessand… read more here.
Keywords: sparsity aware; sparsity; jointly optimized; impulsive noise ... See more keywords
Generalized Soft-Root-Sign Based Robust Sparsity-Aware Adaptive Filters
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3252412
Abstract: Robust adaptive filters utilizing hyperbolic cosine and correntropy functions have been successfully employed in non-Gaussian noisy environments. However, these filters suffer from high steady-state misalignment due to significant weight update in the presences of outliers.… read more here.
Keywords: sparsity aware; root sign; adaptive filters; generalized soft ... See more keywords
SparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2018.2879434
Abstract: Deep Neural Networks (DNNs) have emerged as the method of choice for solving a wide range of machine learning tasks. The enormous computational demand posed by DNNs is a key challenge for computing system designers… read more here.
Keywords: instruction; deep neural; neural networks; sparce ... See more keywords
Sparsity-Aware Intelligent Spatiotemporal Data Sensing for Energy Harvesting IoT System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3197543
Abstract: In this era of the Internet of Things (IoT), the increasing number of IoT devices benefit from energy harvesting (EH) technology which enables a sustainable data acquisition process, including data sensing, communication, and storing for… read more here.
Keywords: energy harvesting; sparsity aware; spatiotemporal data; energy ... See more keywords
Bias-Compensated Sparsity-Aware NLMM Algorithms for Robust Adaptive Echo Cancellation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2020.2974782
Abstract: For adaptive echo cancellation in hands-free communication systems, a family of bias-compensated sparsity-aware normalized least mean M-estimate (NLMM) algorithms is proposed that are robust to both impulsive noise and noisy inputs. First, we define a… read more here.
Keywords: bias compensated; sparsity aware; adaptive echo; echo cancellation ... See more keywords
Sparsity-Aware Robust Normalized Subband Adaptive Filtering Algorithms With Alternating Optimization of Parameters
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3171672
Abstract: This brief proposes a unified sparsity-aware robust normalized subband adaptive filtering (SA-RNSAF) algorithm for identification of sparse systems under impulsive noises. The proposed SA-RNSAF algorithm generalizes different algorithms by defining the robust criterion and sparsity-aware… read more here.
Keywords: aware robust; sparsity aware; subband adaptive; sparsity ... See more keywords