Projection matrix optimisation for compressive sensing based applications in embedded systems.
Yiran ShenWen HuMingrui YangBo WeiChun Tung ChouPublished in: SenSys (2013)
Keyphrases
- embedded systems
- projection matrix
- compressive sensing
- random projections
- dimensionality reduction
- low cost
- sparse representation
- dimension reduction
- random sampling
- original data
- image reconstruction
- software systems
- high dimensionality
- principal component analysis
- low dimensional
- hash functions
- document clustering
- feature space
- real time
- singular value decomposition
- image representation
- signal processing
- pattern recognition
- video sequences
- machine learning