Improved turbo equalization schemes robust to SNR estimation errors
An improved Max-Log-Map (MLM) turbo equalization algorithm called Scaled Max-Log-Map (SMLM) iterative equalization is presented. Simulations show that the scheme can dramatically outperform the MLM besides it is insensitive to SNR mismatch. Unfortunately,
Li, Qiang +3 more
core +1 more source
Inhibitory Decay and Supercritical Brain Dynamics During Sleep Deprivation
Sleep deprivation progressively shifts human brain dynamics from near‐critical toward supercritical states, as revealed by neuronal avalanche analysis of resting‐state fMRI. These changes track subjective sleep pressure rather than vigilance lapses and show marked network heterogeneity. A circuit model suggests that reduced inhibitory efficacy provides
Dai Zhang +6 more
wiley +1 more source
Efficient Channel Estimation in OFDM Systems Using a Fast Super-Resolution CNN Model
Channel estimation is a critical component in orthogonal frequency division multiplexing (OFDM) systems for ensuring reliable wireless communication.
Sunita Khichar +4 more
doaj +1 more source
DTI denoising for data with low signal to noise ratios [PDF]
Low signal to noise ratio (SNR) experiments in diffusion tensor imaging (DTI) give key information about tracking and anisotropy, e. g., by measurements with small voxel sizes or with high b values.
Prigarin, Sergej M. +6 more
core +1 more source
Compact Tabletop Magnetic Resonance Elastography for Mapping Soft Tissue Viscoelasticity
This work introduces a compact, low‐cost tabletop magnetic resonance elastography platform for high‐resolution viscoelastic mapping in soft‐tissue specimens. Using this method in human colorectal liver metastases, we demonstrate fully automated biomechanical profiling of treatment response and show that heterogeneity‐based metrics outperform ...
Weijie Zhao +19 more
wiley +1 more source
SNR Estimation in Nakagami Fading with Diversity for Turbo Decoding
—In this paper, we propose an online SNR estimation scheme for Nakagami-Ñfading channels with equal gain diversity combining. We derive the SNR estimates based on the statistical ratio of certain observables over a block of received data.
A. Chockalingamý +2 more
core
Adaptive channel SNR estimation algorithm for turbo decoder
In this paper, we propose an adaptive channel SNR estimation algorithm required for the iterative MAP decoding of turbo decoders. The proposed algorithm uses the extrinsic values generated within the iterative MAP decoder to update the channel SNR ...
Oh, W, Cheun, K
core +1 more source
Eigenvalue based SNR Estimation for Cognitive Radio in Presence of Channel Correlation [PDF]
peer reviewedIn addition to spectrum sensing capability required by a Cognitive Radio (CR), Signal to Noise Ratio (SNR) estimation of the primary signals is crucial in order to adapt its coverage area dynamically using underlay techniques.
OTTERSTEN, Björn +5 more
core +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
TRIM: Simultaneous Thermometry, Ranging, and Imaging via a Monolithic Metalens
ABSTRACT While metasurfaces offer a pathway beyond the discrete architectures of conventional LWIR systems, physically fusing high‐precision thermometry and passive ranging onto a single metalens remains a formidable challenge. Here, we demonstrate a monolithic, dual‐focus metalens capable of simultaneous multidimensional sensing.
Man Yuan +10 more
wiley +1 more source

