Compressive Detection of Stochastic Sparse Signals With Unknown Sparsity Degree.
Yutong FengAkihito TayaYuuki NishiyamaKaoru SezakiJun LiuPublished in: IEEE Signal Process. Lett. (2023)
Keyphrases
- compressive sensing
- sparse representation
- signal reconstruction
- compressive sampling
- signal processing
- high dimensional
- automatic detection
- sparse reconstruction
- sparsity constraints
- signal detection
- dictionary learning
- detection accuracy
- detection method
- random projections
- detection algorithm
- detection rate
- monte carlo
- false positives
- anomaly detection
- sparse approximation
- false alarms
- compressed sensing
- mixed norm
- face detection
- object detection
- basis pursuit
- image processing
- weak signal
- tensor factorization
- low signal to noise ratio
- image representation
- multiscale