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.