A New Approach for Reduction of Supergaussian Noise Using Autoregressive Interpolation and Time-Frequency Masking.
Marco RuhlandStefan GoetzeMatthias BrandtSimon DocloJörg BitzerPublished in: IWAENC (2012)
Keyphrases
- autoregressive
- moving average
- vibration signal
- non stationary
- gaussian markov random field
- random fields
- autoregressive model
- random field models
- spectrum analysis
- sar images
- signal to noise ratio
- wavelet transform
- noise reduction
- human visual system
- short time fourier transform
- least squares
- autoregressive moving average