Accelerate Convergence of Polarized Random Fourier Feature-Based Kernel Adaptive Filtering With Variable Forgetting Factor and Step Size.
Yonghui XuZixuan YangYuqi LiuShouda JiangPublished in: IEEE Access (2020)
Keyphrases
- step size
- adaptive filtering
- convergence rate
- convergence speed
- adaptive filter
- faster convergence
- variable step size
- least mean square
- line search
- cost function
- gradient method
- denoising
- steepest descent method
- particle swarm optimization
- differential evolution
- frequency domain
- filtering method
- stochastic gradient descent
- feature space
- factor analysis
- image processing
- recursive least squares
- multiple kernel learning
- image features