This paper proposes a new and efficient approach where a nature-inspired optimisation
technique has abetted the Kalman filter (KF) for accurately solving the parametric estimation …

The operational modal analysis methods based on output-only measurements are well-
known and applied in linear systems. However, they are not so well developed for nonlinear …

This paper focuses on blind compensation of memoryless nonlinear distortions in sparse
signals. A nonlinear distortion tends to decrease the sparsity. We propose to compensate for …

In this work, we use the formulas of statistic techniques for developing an algorithm based
on third order moments and autocorrelation function. This algorithm permits to identify non …

Blind multichannel identification is a challenging problem in many domains. The normalized
multichannel frequency-domain least-mean-square (NMCFLMS) algorithm was developed …

Pre-processing associated with massive multiple input-multiple output (MIMO) systems can
lead to signals with high envelope fluctuations, which are very prone to nonlinear effects …

由液晶显示器(LCD) 的" 抽样-保持" 特性与人眼视觉系统(HVS) 的运动跟踪特性引起的运动模糊
现象可以近似地用sinc 函数的频域模型来描述. 故本文在论述采用sinc~(-1) 预补偿模型对LCD …

求解非线性问题时, 非线性Volterra 滤波的性能明显优于线性滤波; 稀疏结构Volterra
滤波器有效降低了Volterra 滤波的工程应用复杂度; 本文针对稀疏Volterra 滤波, 改进了基于QR …

In this paper, the problem of parameter estimation of the combined radar signal adopting
chaotic pulse position modulation (CPPM) and linear frequency modulation (LFM), which …

In this paper, we developed a model based on the adaptive neuro-fuzzy inference systems
(ANFIS) for analyzing a real non Gaussian process. The obtained results show that the …