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Radar Waveform Recognition based on Deep Residual Network

2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), 2019
This article presents our initial results in deep learning for the complex multiple radar waveforms recognition. The method is composed of time-frequency analysis and deep residual network (ResNet). Firstly, we transform one-dimensional radar signals into two-dimensional time-frequency images (TFIs), which can reveal more characteristics of the signals.
Xin Qin   +3 more
openaire   +1 more source

Recognition of Waveforms Using Autoregressive Feature Extraction

IEEE Transactions on Computers, 1977
It is proposed that the autoregressive coefficients (as computed from the estimated autocorrelation function) in an autoregressive spectral estimation scheme may be used for feature extraction purposes. An example is presented where such extractors are used to describe seismic wave traces originating from shallow earthquakes and underground nuclear ...
openaire   +1 more source

Sensitivity of Diagnostic Classification to Variations in Waveform Recognition

2015
SCOPUS: NotDefined.j ; info:eu-repo/semantics ...
Lanckriet, J.   +2 more
openaire   +2 more sources

Automatic Vibration Waveform Recognition Using Convolutional Neural Network

2020
A rapid verification model of intrusion signals in the vibration monitoring system can be used to improve the speed and accuracy of vibration identification and microseism research. Existing waveform recognition methods rely on preprocessing the waveform signal such as clipping and aligning.
Wei Ding   +3 more
openaire   +1 more source

Working Group B: Waveform and Speech Recognition

1988
Waveform Recognition is usually known as the task of giving certain type of interpretations to a (set of) unidimensional signal(s) which, without loss of generality, will be assumed to be defined in the time domain.
openaire   +1 more source

Dual-Waveform Emotion Recognition Model for Conversations

2021 IEEE International Conference on Multimedia and Expo (ICME), 2021
Jiayi Zhang   +3 more
openaire   +1 more source

Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network

IEEE Wireless Communications Letters, 2021
Thien Huynh-The   +2 more
exaly  

Template waveform recognition applied to analysis

Computers and Biomedical Research, 1973
J.H. van Bemmel   +3 more
openaire   +1 more source

Recognition of shear and tension signals based on acoustic emission parameters and waveform using machine learning methods

International Journal of Rock Mechanics and Minings Sciences, 2023
Murat Karakus, Shibin Tang
exaly  

Adaptive waveform recognition

Journal of the Franklin Institute, 1960
openaire   +1 more source

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