143 citations · 605 across the 25 of their papers we have counts for
4 papers · 1 filter
Time Dependence in Kalman Filter Tuning
Zhaozhong Chen, Christoffer Heckman, Simon Julier +1
In this paper, we propose an approach to address the problems with ambiguity in tuning the process and observation noises for a discrete-time linear Kalman filter. Conventional app…
FMNet: Latent Feature-wise Mapping Network for Cleaning up Noisy Micro-Doppler Spectrogram
Chong Tang, Wenda Li, Shelly Vishwakarma +3
Micro-Doppler signatures contain considerable information about target dynamics. However, the radar sensing systems are easily affected by noisy surroundings, resulting in uninterp…
Gradient-Based Interpretability Methods and Binarized Neural Networks
Amy Widdicombe, Simon J. Julier
Binarized Neural Networks (BNNs) have the potential to revolutionize the way that deep learning is carried out in edge computing platforms. However, the effectiveness of interpreta…
Learning from Natural Noise to Denoise Micro-Doppler Spectrogram
Chong Tang, Wenda Li, Shelly Vishwakarma +3
Micro-Doppler analysis has become increasingly popular in recent years owning to the ability of the technique to enhance classification strategies. Applications include recognising…