Reliable Recovery of Hierarchically Sparse Signals for Gaussian and Kronecker Product Measurements.
Ingo RothMartin KlieschAxel FlinthGerhard WunderJens EisertPublished in: IEEE Trans. Signal Process. (2020)
Keyphrases
- kronecker product
- gaussian white noise
- signal reconstruction
- compressive sensing
- image recovery
- signal processing
- high dimensional
- sparse data
- cost effective
- maximum likelihood
- gaussian noise
- blind source separation
- statistically independent
- sparse coding
- neural network
- zero crossing
- image restoration
- spectral analysis
- measured data
- compressed sensing
- correlation function
- image classification
- denoising
- face recognition