Results 11 to 20 of about 10,742,237 (292)
Robust Learning with Frequency Domain Regularization
Convolution neural networks have achieved remarkable performance in many tasks of computing vision. However, CNN tends to bias to low frequency components. They prioritize capturing low frequency patterns which lead them fail when suffering from application scenario transformation.
Weiyu Guo, Yidong Ouyang
openaire +3 more sources
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels [PDF]
A practical single-carrier (SC) block transmission with frequency domain equalisation (FDE) system can generally be modelled by the Hammerstein system that includes the nonlinear distortion effects of the high power amplifier (HPA) at transmitter.
Hong, Xia, Chen, Sheng, Harris, Chris J.
core +2 more sources
The complex remote sensing image acquisition conditions and the differences in crop growth create many crop classification challenges. Frequency decomposition enables the capture of the feature information in an image that is difficult to discern ...
Binbin Song +4 more
doaj +1 more source
Building extraction is significant in urban planning, economic evaluation, and driverless technology development. However, automatic building extraction from high spatial resolution remote sensing images has been a challenging task due to the various ...
Bo Yu +5 more
doaj +1 more source
Damping System Designs using Nonlinear Frequency Analysis Approach [PDF]
The main purpose of this thesis focuses on the investigation of the frequency domain analysis and design approaches for nonlinear damping systems. With the development of modern mechanical and civil engineering structures, the vibration control has ...
Guo, Pengfei
core +6 more sources
In recent years, transfer learning has been widely applied in fault diagnosis for solving the problem of inconsistent distribution of the original training dataset and the online-collecting testing dataset. In particular, the domain adaptation method can
Xudong Li +4 more
doaj +1 more source
FreDF: Learning to Forecast in the Frequency Domain
Accepted by ICLR ...
Hao Wang 0049 +8 more
+6 more sources
Frequency-domain precoding for single carrier frequency-division multiple access [PDF]
At present there is considerable interest in the use of single carrier frequency-division multiple access. This interest is justified by the inherent single carrier structure of the SC-FDMA scheme, which is more robust against phase noise and has a lower
Nix, AR, Noune, MB
core +1 more source
Transform Once: Efficient Operator Learning in Frequency Domain
Published at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Michael Poli +6 more
openaire +4 more sources
Near-Optimum Iterative Multiuser Detection in Time-Frequency-Domain Spread Multicarrier DS-CDMA Systems [PDF]
In this contribution we propose and study a novel iterative time-frequency-domain (TF-domain) multiuser detector (MUD) for the multicarrier direct-sequence code-division multiple-access system employing both T-domain and F-domain spreading, which, for ...
Yang, Lie-Liang +5 more
core +2 more sources

