Classification of one-dimensional non-stationary signals using the Wigner-Ville distribution in convolutional neural networks
Authors:
- Johan BrynolfssonJBJohan Brynolfsson
- Maria SandstenMSMaria Sandsten
Open Access
- 1 August 2017
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 326-330
Abstract
No abstract availableThis publication has 6 references indexed in Scilit:
- Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learningComputer Methods and Programs in Biomedicine, 2017
- An evaluation of Convolutional Neural Networks for music classification using spectrogramsApplied Soft Computing, 2017
- Arrhythmia Detection Using Wigner-Ville Distribution Based Neural NetworkProcedia Computer Science, 2016
- Exploiting spectro-temporal locality in deep learning based acoustic event detectionEURASIP Journal on Audio, Speech, and Music Processing, 2015
- Statistical Normalization and Back Propagationfor ClassificationInternational Journal of Computer Theory and Engineering, 2011
- Optimizing time-frequency kernels for classificationIEEE Transactions on Signal Processing, 2001