Convolutional neural networks analysed via inverse problem theory and sparse representations.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 215, doi. 10.1049/iet-spr.2018.5220
- By:
- Publication type:
- Article
Works in IET Signal Processing (Wiley-Blackwell), 2019, Vol 13, Issue 2
Results: 16
1
2
Sleep stages classification from EEG signal based on Stockwell transform.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 242, doi. 10.1049/iet-spr.2018.5032
- By:
- Publication type:
- Article
3
Adaptive beamforming with unknown scattering coefficients of near‐field scatterers.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 235, doi. 10.1049/iet-spr.2018.5071
- By:
- Publication type:
- Article
4
Extraction of acoustic features based on auditory spike code and its application to music genre classification.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 230, doi. 10.1049/iet-spr.2018.5158
- By:
- Publication type:
- Article
5
Facial expression recognition using the spectral graph wavelet.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 224, doi. 10.1049/iet-spr.2018.5087
- By:
- Publication type:
- Article
6
Recognition of isolated digits using DNN–HMM and harmonic noise model.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 207, doi. 10.1049/iet-spr.2018.5131
- By:
- Publication type:
- Article
7
CLEAN‐based air moving target detection for the SFM radar‐communication system.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 199, doi. 10.1049/iet-spr.2018.5102
- By:
- Publication type:
- Article
8
Singular spectral analysis‐based denoising without computing singular values via augmented Lagrange multiplier algorithm.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 149, doi. 10.1049/iet-spr.2018.5086
- By:
- Publication type:
- Article
9
Automated eye blink artefact removal from EEG using support vector machine and autoencoder.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 141, doi. 10.1049/iet-spr.2018.5111
- By:
- Publication type:
- Article
10
Sufficient condition for exact support recovery of sparse signals through greedy block coordinate descent.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 176, doi. 10.1049/iet-spr.2018.5123
- By:
- Publication type:
- Article
11
Deep neural network based approach for ECG classification using hybrid differential features and active learning.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 165, doi. 10.1049/iet-spr.2018.5103
- By:
- Publication type:
- Article
12
Detection of epileptic seizure employing a novel set of features extracted from multifractal spectrum of electroencephalogram signals.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 157, doi. 10.1049/iet-spr.2018.5258
- By:
- Publication type:
- Article
13
FPGA implementation of closed‐loop compensation for LFMCW signal non‐linear distortions.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 192, doi. 10.1049/iet-spr.2018.5298
- By:
- Publication type:
- Article
14
NR‐IQA for noise‐affected images using singular value decomposition.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 183, doi. 10.1049/iet-spr.2018.5160
- By:
- Publication type:
- Article
15
Vector extension of quaternion wavelet transform and its application to colour image denoising.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 133, doi. 10.1049/iet-spr.2018.5127
- By:
- Publication type:
- Article
16
Sparse non‐negative signal reconstruction using fraction function penalty.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2019, v. 13, n. 2, p. 125, doi. 10.1049/iet-spr.2018.5056
- By:
- Publication type:
- Article