Advanced Adaptive Filtering Techniques

Advanced Adaptive Filtering Techniques is a research topic within Computational Mechanics. Science Explorer counts 30k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the topic of adaptive filtering in non-Gaussian signal processing, with an emphasis on diffusion strategies, kernel algorithms, sparse system identification, active noise control, distributed estimation, variable step-size algorithms, robust adaptive filtering, and the application of correntropy criterion. The papers cover a wide range of applications and performance analyses for adaptive filtering techniques in complex and non-Gaussian signal environments.

• Adaptive Filtering
• Non-Gaussian Signal Processing
• Diffusion Strategies
• Kernel Algorithms
• Sparse System Identification
• Active Noise Control
• Distributed Estimation
• Variable Step-Size Algorithms
• Robust Adaptive Filtering
• Correntropy Criterion