Results 21 to 30 of about 4,029,563 (257)

Radiometric Identification of Signals by Matched Whitening Transform

Sensors, 2021
Radiometric identification is the problem of attributing a signal to a specific source. In this work, a radiometric identification algorithm is developed using the whitening transformation.
Bijan G. Mobasseri, Amro Lulu
doaj   +1 more source

Underwater Target Signal Classification Using the Hybrid Routing Neural Network

Sensors, 2021
In signal analysis and processing, underwater target recognition (UTR) is one of the most important technologies. Simply and quickly identify target types using conventional methods in underwater acoustic conditions is quite a challenging task.
Xiao Cheng, Hao Zhang
doaj   +1 more source

Target classification using Renyi entropy features of cyclic bispectrum

The Journal of Engineering, 2019
In this study, a target classification method is proposed based on a third-order cyclic statistics technique. The authors introduce cyclic bispectrum (CBS) to reveal the non-linear cyclic nature contained by the micro-Doppler signal, and it is observed ...
Cai Wang, Yan Li, Meiguo Gao
doaj   +1 more source

Acoustic Scene Classification [PDF]

, 2015
This work was supported by the Centre for Digital Music Platform (grant EP/K009559/1) and a Leadership Fellowship (EP/G007144/1) both from the United Kingdom Engineering and Physical Sciences Research ...
Barchiesi, D, Stowell, D, Plumbley, MD, Giannoulis, D   +3 more
core   +1 more source

Heart Sound Signal Classification Algorithm: A Combination of Wavelet Scattering Transform and Twin Support Vector Machine

IEEE Access, 2019
By classifying the heart sound signals, it can provide very favorable clinical information to the diagnosis of cardiovascular diseases. According to the characteristics of heart sound signals which are complex and difficult to classify and recognize, a ...
Jinghui Li, Li Ke, Qiang Du, Xiaodi Ding, Xiangmin Chen, Danni Wang   +5 more
doaj   +1 more source

A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning

, 2023
Electrocardiography (ECG) signal recognition is one of the popular research topics for machine learning. In this paper, a novel transformation called tower graph transformation is proposed to classify ECG signals with high accuracy rates.
Subasi, Abdulhamit, Tuncer, Turker, Dogan, Sengul   +2 more
core   +1 more source

vinayakumarr/Signal-Processing-and-Pattern-Classification v1

, 2019
Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG ...
Vinayakumar R
core   +1 more source

EEG signal classification using wavelet feature extraction and neural networks [PDF]

, 2006
Decision support systems have been utilised since 1960, providing physicians with fast and accurate means towards more accurate diagnoses and increased tolerance when handling missing or incomplete data.
Vassilis Kodogiannis, Kenneth Revett, Jahankhani, P., Revett, K., Pari Jahankhani, Kodogiannis, V.   +5 more
core   +1 more source

Radar waveform recognition based on a two‐stream convolutional network and software defined radio

IET Radar, Sonar & Navigation, 2022
As one of the key technologies of electromagnetic spectrum operations, radar waveform recognition is an important basis for judging the threat degree of enemy’s weapons.
Yan Xia, Zhiyuan Ma, Zhi Huang
doaj   +1 more source

Brain Signal Classification Based on Deep CNN

, 2020
It is essential to increase the accuracy and robustness of classification of brain data, including EEG, in order to facilitate a direct communication between the human brain and computerized devices. Different machine learning approaches, such as support
Gao, Terry, Wang, Grace Ying
core   +1 more source