Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Widely linear maximum complex correntropy criterion affine projection algorithm and its performance analysis
Recently, affine projection algorithm has been extensively studied in the Gaussian noise
environment. However, the performance of affine projection algorithm will deteriorate rapidly …
environment. However, the performance of affine projection algorithm will deteriorate rapidly …
Analysis on the adaptive filter based on LMS algorithm
This article focuses on the application of adaptive filter based on the LMS algorithm. An
adaptive filter of the closed-loop system is introduced, including the elimination of …
adaptive filter of the closed-loop system is introduced, including the elimination of …
Hybrid Heuristic‐Based Invariable Step‐Size Zero‐Attracting Modified Normalized Least Mean Square for Efficient Channel Estimation in Broadband Wireless …
The stability of the broadband channel estimation capabilities is provided by the normalized
least mean square (NLMS) approaches. When compared to compression sensing‐based …
least mean square (NLMS) approaches. When compared to compression sensing‐based …
Variable Step‐Size Correntropy‐Based Affine Projection Algorithm with Compound Inverse Proportional Function for Sparse System Identification
B Wang, H Li, C Wu, C Xu… - IEEJ Transactions on …, 2022 - Wiley Online Library
In view of the poor performance of the traditional adaptive filtering algorithm in identifying
sparse systems under impulse noise, an affine projection maximum correntropy criterion …
sparse systems under impulse noise, an affine projection maximum correntropy criterion …
Affine projection algorithm by employing maximum correntropy criterion for system identification of mixed noise
X Wang, J Han - IEEE Access, 2019 - ieeexplore.ieee.org
The adaptive algorithms have been widely studied in Gaussian environment. However, the
impulsive noise and other non-Gaussian noise may largely deteriorate the performance of …
impulsive noise and other non-Gaussian noise may largely deteriorate the performance of …
On the convergence of LMS filters under periodic signals
The response of the Least Mean Square (LMS) algorithm to deterministic periodic inputs is
considered. Under these conditions, initial values of the tap-weight vector can be identified …
considered. Under these conditions, initial values of the tap-weight vector can be identified …
Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters
The characterization and parameterization of processes that arise in many fields of science
and technology are very crucial. Of particular importance are dynamic processes whose …
and technology are very crucial. Of particular importance are dynamic processes whose …