Results 1 to 10 of about 105,765 (165)
Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter [PDF]
Sensors, 2019 A novel R-peak detection algorithm suitable for wearable electrocardiogram (ECG) devices is proposed with four objectives: robustness to noise, low latency processing, low resource complexity, and automatic tuning of parameters.
Tam Nguyen +3 more
doaj +4 more sources
Digital Moving Average Filter Application for Echo Signals and Temperature [PDF]
E3S Web of Conferences, 2021 In this work, we propose a digital filter design, namely moving average filter (MAF) to be implemented on echo signal and temperature data. The echo signal data is obtained from the ultrasonic transducer, while the temperature data is obtained from the ...
Purnamasari Dian Neipa +2 more
doaj +2 more sources
A Moving Average Filter based DSTATCOM Control Approach
Electrical Engineering and EnergySelf-excited induction generators (SEIGs) are commonly preferred in stand-alone renewable energy systems due to their low cost and robust construction. However, the voltage and frequency stability at the SEIG output may be adversely affected by varying ...
Ali Sait Ozer +2 more
doaj +2 more sources
An extension of the iterated moving average. [PDF]
PLoS ONEThis work introduces an extension of the iterated moving average filter, called the Extended Kolmogorov-Zurbenko (EKZ) filter for time series and spatio-temporal analysis.
Edward L Valachovic
doaj +2 more sources
Autoregressive Moving Average Graph Filtering [PDF]
IEEE Transactions on Signal Processing, 2017 One of the cornerstones of the field of signal processing on graphs are graph filters, direct analogues of classical filters, but intended for signals defined on graphs. This work brings forth new insights on the distributed graph filtering problem. We design a family of autoregressive moving average (ARMA) recursions, which (i) are able to approximate
Elvin Isufi +3 more
openaire +2 more sources
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2023 In time series analysis, signal processing, and financial analysis, simple moving average (SMA), weighted moving average (WMA), exponential moving average (EMA), exponential weighted moving average (EWMA), and Kalman filter are widely used methods. Each
Volodymyr Lotysh +2 more
doaj +1 more source
ADAPTABLE AUTOREGRESSIVE MOVING AVERAGE FILTER TRIGGERING CONVOLUTIONAL NEURAL NETWORKS FOR CHOREOGRAPHIC MODELING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Choreographic modeling, that is identification of key choreographic primitives, is a significant element for Intangible Cultural Heritage (ICH) performing art modeling.
I. Rallis +3 more
doaj +1 more source
Reliability Evaluation of Software Filters Applied to Conduction Current in HVDC Power Cables
IEEE Access, 2021 For design and operation, the conduction current of insulation must be obtained in high-voltage direct current (HVDC) power cables. The measured noise from the environment and equipment can have a significant impact on the reliability of the conduction ...
Seung-Won Lee +3 more
doaj +1 more source
Distributed Autoregressive Moving Average Graph Filters [PDF]
IEEE Signal Processing Letters, 2015 We introduce the concept of autoregressive moving average (ARMA) filters on a graph and show how they can be implemented in a distributed fashion. Our graph filter design philosophy is independent of the particular graph, meaning that the filter coefficients are derived irrespective of the graph.
Andreas Loukas +2 more
openaire +2 more sources
Enhanced Grid-Connected Phase-Locked Loop Based on a Moving Average Filter
IEEE Access, 2020 Moving average filter (MAF)-based phase-locked loops (PLLs) have received considerable attention in recent years due to their attractive features. Indeed, they are able to completely eliminate the unwanted effect of harmonics, dc offset, and unbalanced ...
Cong Liu +3 more
doaj +1 more source