In this brief, a robust constrained filtering algorithm is proposed by introducing a novel cost
function framework into the constrained adaptive algorithm. The proposed algorithm is …

针对脉冲噪声中的信号检测问题, 该文提出一种基于指数函数的非线性变换函数设计与优化方法
. 该方法利用指数函数衰减速度可调的优点, 适用于脉冲噪声的各种分布模型 …

In distributed wireless networks, the adaptation process depends on the information being
shared between various nodes. The global minimum, is therefore, likely to be affected when …

When a signal is attenuated by some interference or additive noise, adaptive filters provide
best solution for the recovery of such signals. Based on adaptive filtering several techniques …

Diffusion least mean square (LMS) algorithm is a well-known algorithm for distributed
estimation where estimation takes place at multiple nodes. However, it inherits slow …

In a distributed environment, estimation takes place at multiple nodes. The computational
complexity at each node can therefore significantly increase the computational cost of the …

针对脉冲型噪声, 该文提出一种新的非线性处理方法, 即高斯化-广义匹配(GGM) 处理. GGM
方法基于高斯化处理与广义匹配滤波, 可结合非参数的概率密度估计进行设计 …

The quantum calculus provides an extra degree of freedom to search the local and global
minima by inducing aq-parameter. Motivated by this fact, a quantum calculus-based noisy …

A novel design of nonlinear transformation function for the signal detection in impulsive
noise is proposed. The proposed method takes the advantage of adjustable fading factors of …

In distributed networks, the conventional incremental mode of cooperation between the
nodes may suffer instability due to two major reasons:(1) large local errors due to accidental …