Results 241 to 250 of about 108,372 (297)

Dynamic Feature Elimination-Based Visual-Inertial Navigation Algorithm. [PDF]

Sensors (Basel)
Yu J, Dai H, Li J, Li X, Liu X.
europepmc   +1 more source

Calibration-free benzene sensor for fire environments based on interband cascade laser absorption spectroscopy near 5 <i>μm</i>. [PDF]

Appl Phys B
Jaeger NSB, Yan Y, Sanders IC, Urwin DJ, Spearrin RM.   +4 more
europepmc   +1 more source

Proactive soft-failure prediction in optical transport networks via physics-inspired features and Infrastructure-as-Code orchestration. [PDF]

Sci Rep
Ali OM, Radwan AMA, Radwan OMA, Elsherbini MM.   +3 more
europepmc   +1 more source

4D Time-lapse imaging of cell dynamics in human alveolar tissue by label-free higher harmonic generation microscopy. [PDF]

J Transl Med
Ma Y, Lubbersen NB, Spies S, Dijkhuis A, van Dorp M, Dickhoff C, Annema J, Duitman JW, Groot ML.   +8 more
europepmc   +1 more source

RGB-D SLAM: A Review of Methods and Performance Trade-Offs for Different Requirements. [PDF]

Sensors (Basel)
Yan Y, Li J, Liu Q, Lv S, Wu Q.
europepmc   +1 more source

Detrending knee joint vibration signals with a cascade moving average filter [PDF]

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Knee joint vibration signals are very useful for computer-aided analysis of the pathological conditions in the knee. In a vibration arthrometry test, the legs of patients with knee joint disorders may tremble due to the reaction of pain, which causes the baseline wander that may affect the diagnostic decision making in medical study.
Suxian Cai, Yunfeng Wu, Ning Xiang, Zhangting Zhong, Jia He 0012, Lei Shi, Fang Xu   +6 more
core   +4 more sources

Some of the next articles are maybe not open access.

Related searches:

On an approach to moving-average filtering

Signal Processing, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vladimir Lyandres, S. Briskin
openaire   +1 more source

Fast filtering for seasonal moving average models

Biometrika, 1986
SUMMARY Pearlman (1980) gives a fast filtering algorithm for an ARMA, i.e. autoregressive-moving average, model. When the algorithm is applied to a seasonal moving average model significant computational savings can be obtained by taking advantage of the structural zeros noted by Kohn & Ansley (1984) and Melard (1984).
Robert Kohn, Craig F. Ansley
openaire   +1 more source

A Generalized Moving Average Filter for Active Power Filter Applications

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019
In recent years, the large number of nonlinear, unbalanced and reactive loads such as single-phase rectifiers are widely used in the distributed power grid. Obviously, a series of harmonic currents and unbalanced load currents are affecting the power quality seriously.
Yalan Gu, Shengchao Liu, Dong Wang, Li Zhang   +3 more
openaire   +1 more source