… ensemble empirical mode decomposition with adaptive noise, … based on auto regression
extended Kalman filter[J]. Transactions … of baseline wander and powerline interference in ECG …

… WU 和HUANG 进 一步提出了总体经验模式分解(Ensemble empirical mode decomposition,
EEMD),通过在信号中加入白 … Iterative filtering as an alternative algorithm for empirical mode …

… deep learning and Bayesian filtering methods, we discuss … Kalman-based spectro-temporal
ecg analysis using deep … A novel adaptive Kalman filter with inaccurate process and …

… sparse decomposition and reconstruction of sound signal to decrease the influence of noise
… atom searching in the process of sparse decomposition. Then, an optimized composited …

… Gaussian noise filtering from ECG by Wiener filter and ensemble empirical mode
decomposition[J]. Journal of signal processing systems, 2011, 64(2): 249-264. DOI:10.1007/s11265-…

… ECG 通过在人体的不同部位连接 传感器电极,采集体表不同… separation and ensemble empirical
mode decomposition[J].IEEE … facial ROI tracker and pose constrained Kalman filter[J]. IEEE …

… HHT 的核心部分是采用经验模态分解 (Empirical Mode Decomposition, EMD)将任意复杂
信号分解成有限的本征模式函数集(Intrinsic Mode Function, IMF).分解完毕后,再对IMF 分量进行 …

… caused by broadband background noise interference in underwater vehicles and other
platforms, a deep learning broadband background noise suppression method suitable for multi-…

作为一门基于现代信息技术的综合性交叉学科, 多源信息融合(Multi-Source Information Fusion,
MSIF) 在各个领域都具有重要的研究价值和广泛的应用前景, 从而引发了海内外学者, 工程专家…