Machine Learning-Based Frequency Bands Classification for Efficient Frequency Hopping Spread Spectrum Applications.
Inna ValievaBharath ShashidharMats BjörkmanJohan ÅkerbergMikael EkströmIurii VoitenkoPublished in: MILCOM (2022)
Keyphrases
- spread spectrum
- frequency hopping
- frequency band
- image watermarking
- transform domain
- pattern recognition
- data hiding
- feature selection
- digital watermarking
- high frequency
- watermarking algorithm
- multiple access
- subband
- low frequency
- watermarking scheme
- feature vectors
- computationally efficient
- bit error rate
- feature extraction