Compressive sensing of roller bearing fault using tunable Q-factor wavelet transform.
Huaqing WangYanliang KeGanggang LuoGang TangPublished in: I2MTC (2016)
Keyphrases
- compressive sensing
- wavelet transform
- image recovery
- random projections
- image coding
- multiresolution
- sparse representation
- wavelet coefficients
- multiscale
- image representation
- compressive sampling
- subband
- signal processing
- signal reconstruction
- image compression
- fault diagnosis
- fault detection
- feature extraction
- structured sparsity
- distributed source coding
- neural network
- unsupervised learning
- sparse coding
- face recognition