TY - GEN
T1 - Signal Clustering with Class-Independent Segmentation
AU - Gasperini, Stefano
AU - Paschali, Magdalini
AU - Hopke, Carsten
AU - Wittmann, David
AU - Navab, Nassir
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - Radar signals have been dramatically increasing in complexity, limiting the source separation ability of traditional approaches. In this paper we propose a Deep Learning-based clustering method, which encodes concurrent signals into images, and, for the first time, tackles clustering with image segmentation. Novel loss functions are introduced to optimize a Neural Network to separate the input pulses into pure and non-fragmented clusters. Outperforming a variety of baselines, the proposed approach is capable of clustering inputs directly with a Neural Network, in an end-to-end fashion.
AB - Radar signals have been dramatically increasing in complexity, limiting the source separation ability of traditional approaches. In this paper we propose a Deep Learning-based clustering method, which encodes concurrent signals into images, and, for the first time, tackles clustering with image segmentation. Novel loss functions are introduced to optimize a Neural Network to separate the input pulses into pure and non-fragmented clusters. Outperforming a variety of baselines, the proposed approach is capable of clustering inputs directly with a Neural Network, in an end-to-end fashion.
KW - Class-independence
KW - Clustering
KW - Deep Learning
KW - Image Segmentation
KW - Radar Signals
UR - http://www.scopus.com/inward/record.url?scp=85089212659&partnerID=8YFLogxK
U2 - 10.1109/ICASSP40776.2020.9053409
DO - 10.1109/ICASSP40776.2020.9053409
M3 - Conference contribution
AN - SCOPUS:85089212659
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3982
EP - 3986
BT - 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
Y2 - 4 May 2020 through 8 May 2020
ER -