Functional Interactions between Sensory and Memory Networks for Adaptive Behavior.
Sign Up to like & getrecommendations! Published in 2021 at "Cerebral cortex"
DOI: 10.1093/cercor/bhab160
Abstract: The brain's capacity to adapt to sensory inputs is key for processing sensory information efficiently and interacting in new environments. Following repeated exposure to the same sensory input, brain activity in sensory areas is known… read more here.
Keywords: interactions sensory; memory networks; adaptive processing; adaptation ... See more keywords
Sparse Bayesian Learning-Based Space-Time Adaptive Processing With Off-Grid Self-Calibration for Airborne Radar
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2866497
Abstract: Space–time adaptive processing (STAP) for airborne radar has recently been enriched owing to the development of methods based on sparse recovery techniques. These methods have shown advantages over the conventional ones. However, there are still… read more here.
Keywords: space time; adaptive processing; sparse bayesian; bayesian learning ... See more keywords
Deep Unfolded Atomic Norm Minimization Algorithm for Space-Time Adaptive Processing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3509520
Abstract: As an effective clutter suppression method for airborne radar, the atomic norm minimization (ANM)-based space-time adaptive processing (STAP) method suffers from high computational complexity and parameter setting difficulty. To solve these problems, a deep unfolded… read more here.
Keywords: atomic norm; norm minimization; time adaptive; stap ... See more keywords
Multi-Waveform Space-Time Adaptive Processing
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2017.2650639
Abstract: A new form of space-time adaptive processing (STAP) is presented that leverages additional training data obtained from waveform-diverse pulse compression filters possessing low cross-correlation with the primary waveform that is used for traditional airborne and… read more here.
Keywords: space; training data; space time; multi waveform ... See more keywords
BE-NPU: A Bandwidth-Efficient Neural Processing Unit With Adaptive Processing Schemes for Reduced Off-Chip Bandwidth Demand
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2025.3558579
Abstract: Existing neural processing units (NPUs) mainly focus on the optimized multiply-accumulate (MAC) arrays for efficient inference of convolutional neural networks (CNNs). However, off-chip data transmission usually keeps NPUs waiting during CNN inference, causing up to… read more here.
Keywords: processing schemes; neural processing; processing; adaptive processing ... See more keywords
RESEARCH ON SPACE-TIME ADAPTIVE PROCESSING WITH RESPECT TO THE SIGNAL POWERS
Sign Up to like & getrecommendations! Published in 2018 at "Progress in Electromagnetics Research C"
DOI: 10.2528/pierc18011401
Abstract: Diverse array processing methods with higher order statistics (HOS) have been developed in the last three decades. One of the main interests in using HOS relies on the increase of effective aperture and the number… read more here.
Keywords: space time; adaptive processing; respect signal; signal powers ... See more keywords
Improved Variational Bayes for Space-Time Adaptive Processing
Sign Up to like & getrecommendations! Published in 2025 at "Entropy"
DOI: 10.3390/e27030242
Abstract: To tackle the challenge of enhancing moving target detection performance in environments characterized by small sample sizes and non-uniformity, methods rooted in sparse signal reconstruction have been incorporated into Space-Time Adaptive Processing (STAP) algorithms. Given… read more here.
Keywords: adaptive processing; time adaptive; space time;