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: CoRR (2014)
Keyphrases
- compressed sensing
- fast fourier transform
- signal processing
- fourier transform
- image reconstruction
- fourier domain
- sparse representation
- frequency domain
- compressive sampling
- random projections
- floating point
- natural images
- spectral analysis
- compressive sensing
- radon transform
- computer vision
- filter bank
- visual information
- image compression
- feature selection
- spatial domain
- discrete wavelet transform
- discrete cosine transform
- feature space
- object recognition
- pattern recognition
- high quality
- machine learning