Practical ReProCS for separating sparse and low-dimensional signal sequences from their sum - Part 2.
Han GuoNamrata VaswaniChenlu QiuPublished in: GlobalSIP (2014)
Keyphrases
- low dimensional
- high dimensional
- compressive sensing
- signal recovery
- high dimensional data
- random projections
- signal processing
- dimensionality reduction
- signal reconstruction
- high frequency
- hidden markov models
- frequency domain
- feature space
- sparse data
- euclidean space
- input space
- manifold learning
- sparse representation
- principal component analysis
- neural network
- compressive sampling
- original signal
- nonlinear dimensionality reduction
- compressed sensing
- image reconstruction