Information theoretic performance bounds for noisy compressive sensing.
Junjie ChenQilian LiangBaoju ZhangXiaorong WuPublished in: ICC Workshops (2013)
Keyphrases
- information theoretic
- compressive sensing
- information theory
- mutual information
- sparse representation
- random projections
- theoretic framework
- image representation
- upper bound
- compressive sampling
- information bottleneck
- information theoretic measures
- signal processing
- worst case
- feature selection
- kullback leibler divergence
- neural network
- data sets
- expectation maximization
- text classification
- missing data
- dimension reduction
- principal component analysis