A comparative study of audio compression based on compressed sensing and Sparse Fast Fourier transform (SFFT): Performance and challenges.
Hossam M. KasemMaha El-SabroutyPublished in: ISSPIT (2013)
Keyphrases
- compressed sensing
- fast fourier transform
- signal processing
- image reconstruction
- fourier transform
- fourier domain
- sparse representation
- frequency domain
- random projections
- compressive sampling
- floating point
- image processing
- spectral analysis
- natural images
- image compression
- radon transform
- pattern recognition
- computer vision
- spatial domain
- discrete wavelet transform
- higher order
- noisy images
- discrete cosine transform
- principal component analysis
- image features
- feature extraction