ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation

no code implementations • 29 Dec 2023 • Dongbin Hou, Lixin Li, Wensheng Lin, Junli Liang, Zhu Han

With the rapid development of deep learning (DL) in recent years, automatic modulation recognition (AMR) with DL has achieved high accuracy.

Automatic Modulation Recognition Knowledge Distillation

Neurodynamic TDOA localization with NLOS mitigation via maximum correntropy criterion

no code implementations • 14 Sep 2020 • Wenxin Xiong, Christian Schindelhauer, Hing Cheung So, Junli Liang, Zhi Wang

In this paper, we exploit the maximum correntropy criterion (MCC) to robustify the traditional time-difference-of-arrival (TDOA) location estimator in the presence of non-line-of-sight (NLOS) propagation conditions.

Position

TDOA-based localization with NLOS mitigation via robust model transformation and neurodynamic optimization

no code implementations • 22 Apr 2020 • Wenxin Xiong, Christian Schindelhauer, Hing Cheung So, Joan Bordoy, Andrea Gabbrielli, Junli Liang

This paper revisits the problem of locating a signal-emitting source from time-difference-of-arrival (TDOA) measurements under non-line-of-sight (NLOS) propagation.

Kernel Least Mean Square with Adaptive Kernel Size

no code implementations • 23 Jan 2014 • Badong Chen, Junli Liang, Nanning Zheng, Jose C. Principe

Kernel adaptive filters (KAF) are a class of powerful nonlinear filters developed in Reproducing Kernel Hilbert Space (RKHS).

Time Series Time Series Prediction