In this paper, we investigate the problem of non-linear time-varying regression in a wireless
sensor network system. A field over an area is estimated using a number of fixed sensors …

This letter presents a novel approach to blind recovery of audio signals that have been
distorted by a memoryless, invertible, and smooth nonlinear function. We introduce a cost …

In this paper, we propose the improved feature least‐mean‐square (IF‐LMS) algorithm to
exploit hidden sparsity in unknown systems. Recently, the feature least‐mean‐square (F …

摘要" 为解决现有测量接触网隔离开关角度的电子式传感器取电难'易受电磁干扰等问题$
采用光纤传感器设计了款用于测量隔离开关角度的传感器$ 利用以直代曲的思想 …

This paper addresses soft clipping in audio and speech signals, in which the distortion can
be approximated by an invertible polynomial. Recent proposals have shown that the sparsity …

In this study, sparsity maximization nonlinear blind deconvolution (NBD) is proposed to
identify the vibration sources of satellite systems from mixed vibration signals. The proposed …

In this paper, we would suggest a sparse adaptive filtering technique which is robust against
Gaussian and non-Gaussian noises. To this goal, a linear combination of the least mean …

This paper studies the problem of Simultaneous Sparse Approximation (SSA). This problem
arises in many applications which work with multiple signals maintaining some degree of …

This habilitation thesis focuses on the compensation of various distortions encountered in
real-world speech recordings. The thesis is organized as a collection of articles concerning …