Results 31 to 40 of about 784,273 (337)
The design and implementation of folded adaptive lattice filter structures in FPGA for ECG signals
An adaptive filter is the utmost essential filter castoff in statistical signal dealing. The fine-tuning of the filter factor in relation to the response signal is the adaptive filter's key feature due to fewer calculations, Least Mean Square (LMS ...
Kalamani C.+3 more
doaj +1 more source
Unified Linearization-based Nonlinear Filtering [PDF]
This letter shows that the following three classes of recursive state estimation filters: standard filters, such as the extended Kalman filter; iterated filters, such as the iterated unscented Kalman filter; and dynamically iterated filters, such as the dynamically iterated posterior linearization filters; can be unified in terms of a general algorithm.
arxiv
Review of Fundamental Active Current Extraction Techniques for SAPF
The field of advanced digital signal processing methods is one of the fastest developing scientific and technical disciplines, and is important in the field of Shunt Active Power Filter control methods.
Jan Baros+6 more
doaj +1 more source
Application of Derivative Transform Spectroscopy in Gas Detection [PDF]
Digital filtering technique is of great significance in real-time signal processing and analysis, but the stability, efficiency and flexibility of filter algorithm are important indicators to reflect its application value.
Chen Tingting+3 more
doaj +1 more source
On semi shift invariant graph filters [PDF]
In graph signal processing, one of the most important subjects is the study of filters, i.e., linear transformations that capture relations between graph signals. One of the most important families of filters is the space of shift invariant filters, defined as transformations commute with a preferred graph shift operator. Shift invariant filters have a
arxiv
Graph Filters for Signal Processing and Machine Learning on Graphs [PDF]
Filters are fundamental in extracting information from data. For time series and image data that reside on Euclidean domains, filters are the crux of many signal processing and machine learning techniques, including convolutional neural networks. Increasingly, modern data also reside on networks and other irregular domains whose structure is better ...
arxiv
Signal acquisition and processing method for capacitive electromagnetic flowmeter
A kind of signal acquisition circuit and the related signal processing method of the capacitance electromagnetic flowmeter were introduced. The circuit can eliminate the influence of distributed capacitance on the input impedance of the operational ...
Hong-Yu Yang, Yan Chen, Hui Zhao
doaj
Programming of digital linear phase filter in ARMv8 architecture
We consider the problem of using processors with an ARMv8 architecture to speed up the operation of multimedia algorithms and digital processing when solving problems of signal recovery in the filtering process.
A. M. Vodovozov, D. S. Poletaev
doaj +1 more source
A Coordinate System Choice when Information Signal Processing by Kalman Filter
The article describes information signal smoothing problems in the technical systems with movable platform. In such technical systems different coordinate system are used and there is a signal conditioning from one coordinate system into one another when
Valeriy Ponyatsky
doaj +1 more source
Nonlinear filtering for LIDAR signal processing
LIDAR (Laser Integrated Radar) is an engineering problem of great practical importance in environmental monitoring sciences. Signal processing for LIDAR applications involves highly nonlinear models and consequently nonlinear filtering. Optimal nonlinear filters, however, are practically unrealizable.
Lainiotis, D. G.+2 more
openaire +3 more sources