Kalman Filter-Based Chip Differential Blind Adaptive Multiuser Detection for Variably Mobile Asynchronous Underwater Multiuser Communications
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2868475
Abstract: To mitigate the inter-symbol interference (ISI), multiple access interference (MAI), and the effect of different Doppler shifts within a data package incurred in variably mobile asynchronous underwater multiuser communications (VMAUMC), a Kalman filter-based chip differential… read more here.
Keywords: blind adaptive; bamud algorithm; kalman filter; filter based ... See more keywords
Blind Adaptive Structure-Preserving Imaging Enhancement for Low-Light Condition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3160652
Abstract: In this letter, a novel and effective algorithm based on Retinex model is proposed for low-light image enhancement, named Blind Adaptive Structure-Preserving Image Enhancement (BASSY). The low-light image enhancement is still a challenging task because… read more here.
Keywords: adaptive structure; structure preserving; low light; blind adaptive ... See more keywords
ADS-B Signal Separation Based On Blind Adaptive Beamforming
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2019.2914233
Abstract: The automatic dependent surveillance-broadcast (ADS-B) is a surveillance system for air traffic management where aircrafts asynchronously broadcast the position and other information on the same frequency band. However, this simple transmission protocol will result in… read more here.
Keywords: separation based; beamforming; blind adaptive; signal separation ... See more keywords
A New Efficient Expression for the Conditional Expectation of the Blind Adaptive Deconvolution Problem Valid for the Entire Range ofSignal-to-Noise Ratio
Sign Up to like & getrecommendations! Published in 2019 at "Entropy"
DOI: 10.3390/e21010072
Abstract: In the literature, we can find several blind adaptive deconvolution algorithms based on closed-form approximated expressions for the conditional expectation (the expectation of the source input given the equalized or deconvolutional output), involving the maximum… read more here.
Keywords: blind adaptive; conditional expectation; expectation; noise ... See more keywords