Machine Learning-based Signal-to-Noise Ratio Estimation using Amplitude Frequency Vector.
Jun-Young AhnHanho WangPublished in: ICEIC (2023)
Keyphrases
- signal to noise ratio
- frequency response
- machine learning
- noise reduction
- instantaneous frequency
- spatial filtering
- edge detection
- matched filter
- gaussian noise
- minimum mean square error
- bit error rate
- edge detector
- received signal
- estimation algorithm
- pattern recognition
- frequency modulation
- image processing
- root mean square error
- feature vectors
- wiener filter
- dynamic range
- median filter
- speech enhancement
- parameter estimation
- doa estimation
- multiscale