Demodulation of Sparse PPM Signals with Low Samples Using Trained RIP Matrix.
Seyed Hossein HosseiniMahrokh G. ShayestehMehdi Chehel AmiraniPublished in: CoRR (2013)
Keyphrases
- sparse signal representation
- coefficient matrix
- sparse matrix
- training set
- signal processing
- joint optimization
- high dimension
- sparse representation
- signal reconstruction
- tensor factorization
- data sets
- signal noise ratio
- low signal to noise ratio
- high dimensional
- eigenvalue decomposition
- compression algorithm
- multilayer perceptron
- compressive sensing
- low rank matrix
- avoid overfitting
- low rank matrices
- sparse data
- linear systems
- independent component analysis
- singular value decomposition
- training samples
- feature selection
- low rank approximation
- tensor decomposition
- covariance matrix
- linear combination
- positive semi definite
- feature extraction
- neural network