Minimum fourier measurements for stable recovery of block sparse signal.
Junjie PanFeifei GaoPublished in: ICASSP (2014)
Keyphrases
- compressive sensing
- signal recovery
- frequency domain
- signal reconstruction
- measured data
- signal processing
- coefficient matrix
- fourier analysis
- image reconstruction
- fourier transform
- noisy measurements
- sparse data
- compressive sampling
- non stationary
- spectral estimation
- signal strength
- high frequency
- hilbert transform
- compressed sensing
- random projections
- fourier coefficients
- original signal
- radon transform
- radio frequency
- signal detection
- impulse response
- block size
- spatial domain
- fourier spectrum
- sparse representation
- high dimensional
- residual signal
- series expansion
- signal analysis
- translation invariant
- transform coefficients
- fourier domain
- wavelet packet
- sparse coding
- image coding
- image restoration
- image representation
- wavelet transform
- motion estimation
- multiresolution