Class Information Guided Reconstruction for Automatic Modulation Open-Set Recognition

no code implementations • 20 Dec 2023 • Ziwei Zhang, Mengtao Zhu, Jiabin Liu, Yunjie Li, Shafei Wang

To enhance distinguishability, we design Class Conditional Vectors (CCVs) to match the latent representations extracted from input samples, achieving perfect reconstruction for known samples while yielding poor results for unknown ones.

Automatic Modulation Recognition Denoising +2

Bayesian Non-parametric Hidden Markov Model for Agile Radar Pulse Sequences Streaming Analysis

no code implementations • 9 Feb 2023 • Jiadi Bao, Yunjie Li, Mengtao Zhu, Shafei Wang

At first, this paper designed a fully-conjugate Bayesian non-parametric hidden Markov model with a designed prior distribution (agile BNP-HMM) to represent the MFR pulse agility characteristics.

Bayesian Inference Change Detection +2