-L∞ Filter Design With Adjustable Convergence Rate for Linear Stochastic Systems.
Huasheng ZhangJianwei XiaJu H. ParkHao ShenJun ChenPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2022)
Keyphrases
- convergence rate
- filter design
- stochastic systems
- nonlinear filters
- convergence speed
- step size
- learning rate
- stochastic models
- image enhancement
- image restoration
- global convergence
- median filter
- sample path
- image processing
- confidence intervals
- low pass
- image denoising
- higher order
- low pass filter
- markov chain
- order statistics
- wavelet domain
- linear combination
- denoising
- multiresolution