Results 1 to 10 of about 1,572,815 (168)

Adaptive DCTNet for Audio Signal Classification [PDF]

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
In this paper, we investigate DCTNet for audio signal classification. Its output feature is related to Cohen's class of time-frequency distributions. We introduce the use of adaptive DCTNet (A-DCTNet) for audio signals feature extraction.
Gan, Zhe, Lu, Liang, Pu, Yunchen, Thompson, Andrew, Xian, Yin   +4 more
core   +2 more sources

A review of lightweight convolutional neural networks for ultrasound signal classification [PDF]

Frontiers in Physiology
Ultrasound signal processing plays an important role in medical image analysis. Embedded ultrasonography systems with low power consumption and high portability are suitable for disaster rescue, but due to the difficulty of ultrasonic signal recognition,
Bokun Zhang, Zhengping Li, Yuwen Hao, Lijun Wang, Xiaoxue Li, Yuan Yao   +5 more
doaj   +2 more sources

Signal Classification for Acoustic Neutrino Detection [PDF]

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2011
This article focuses on signal classification for deep-sea acoustic neutrino detection. In the deep sea, the background of transient signals is very diverse.
Anton, G., Enzenhöfer, A., Graf, K., Hößl, J., Katz, U., Lahmann, R., Neff, M., Richardt, C.   +7 more
core   +2 more sources

Optimizing Reservoir Computers for Signal Classification. [PDF]

Front Physiol, 2021
Reservoir computers are a type of recurrent neural network for which the network connections are not changed. To train the reservoir computer, a set of output signals from the network are fit to a training signal by a linear fit. As a result, training of a reservoir computer is fast, and reservoir computers may be built from analog hardware, resulting ...
Carroll TL.
europepmc   +5 more sources

Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems

Intelligent and Converged Networks, 2021
Radio spectrum awareness, including understanding radio signal activities, is crucial for improving spectrum utilization, detecting security vulnerabilities, and supporting adaptive transmissions.
Yu Zhou, Hatim Alhazmi, Mohsen H. Alhazmi, Alhussain Almarhabi, Mofadal Alymani, Mingju He, Shengliang Peng, Abdullah Samarkandi, Zikang Sheng, Huaxia Wang, Yu-Dong Yao   +10 more
doaj   +1 more source

An Efficient Approach for Driver Drowsiness Detection at Moderate Drowsiness Level Based on Electroencephalography Signal and Vehicle Dynamics Data

Journal of Medical Signals and Sensors, 2022
Background: Drowsy driving is one of the leading causes of severe accidents worldwide. In this study, an analyzing method based on drowsiness level proposed to detect drowsiness through electroencephalography (EEG) measurements and vehicle dynamics data.
Sara Houshmand, Reza Kazemi, Hamed Salmanzadeh   +2 more
doaj   +1 more source

Real-Time Leak Detection for a Gas Pipeline Using a k-NN Classifier and Hybrid AE Features

Sensors, 2021
This paper introduces a technique using a k-nearest neighbor (k-NN) classifier and hybrid features extracted from acoustic emission (AE) signals for detecting leakages in a gas pipeline.
Thang Bui Quy, Jong-Myon Kim
doaj   +1 more source

Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas

Entropy, 2022
This paper studies the privacy of wireless communications from an eavesdropper that employs a deep learning (DL) classifier to detect transmissions of interest.
Brian Kim, Yalin Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus   +4 more
doaj   +1 more source

An MDL-Based Wavelet Scattering Features Selection for Signal Classification

Axioms, 2022
Wavelet scattering is a redundant time-frequency transform that was shown to be a powerful tool in signal classification. It shares the convolutional architecture with convolutional neural networks, but it offers some advantages, including faster ...
Vittoria Bruni, Maria Lucia Cardinali, Domenico Vitulano   +2 more
doaj   +1 more source

Distributed radar fusion and recurrent networks for classification of continuous human activities

IET Radar, Sonar & Navigation, 2022
Continuous Human Activity Recognition (HAR) in arbitrary directions is investigated in this paper using a network of five spatially distributed pulsed Ultra‐Wideband radars.
Ronny G. Guendel, Francesco Fioranelli, Alexander Yarovoy   +2 more
doaj   +1 more source