Comparison of Empirical Mode Decomposition and Singular Spectrum Analysis for Quick and Robust Detection of Aerodynamic Instabilities in Centrifugal Compressors [PDF]
Aerodynamic instabilities in centrifugal compressors are dangerous phenomena affecting machine efficiency and in severe cases leading to failure of the compressing system.
Mateusz Stajuda +2 more
doaj +2 more sources
Fast and accurate algorithm for core point detection in fingerprint images [PDF]
The core point is used to align between the fingerprints in the fingerprint authentication systems faster than the conventional techniques. To speed up the processing for the real time applications, it is more convenient to implement the image processing
G.A. Bahgat +3 more
doaj +2 more sources
The Detection of Multiple Singular Point in PC-Continuation Method [PDF]
In this paper we show how to use the detection method for multiple singular points, including multiple limit point and multiple bifurcation point, in order to solve numerically nonlinear systems of equations by Predictor-Corrector continuation methods.
Li, Kaitai +2 more
core +5 more sources
A Weighted Error Distance Metrics (WEDM) for Performance Evaluation on Multiple Change-Point (MCP) Detection in Synthetic Time Series [PDF]
Change-point detection (CPD) is to find abrupt changes in time-series data. Various computational algorithms have been developed for CPD applications.
Zhu, Ying +3 more
core +1 more source
A new method for the detection of singular points in fingerprint images [PDF]
Automatic biometric identification based on fingerprints is still one of the most reliable identification method in criminal and forensic applications. A critical step in fingerprint analysis without human intervention is to automatically and reliably extract singular points from the input fingerprint images.
Filipe Magalhães +2 more
openaire +2 more sources
Partial discharge (PD) detection is essential in assessing the insulation state of electrical equipment. However, PD signals are often overwhelmed by interference, resulting in inaccurate detection results.
Yifan Xu +5 more
doaj +1 more source
Harmonic detection algorithm based on improved SVD and Prony
An improved algorithm based on singular value decomposition(SVD) and Prony is proposed to solve the problem that the traditional Prony algorithm is not very accurate because it is sensitive to noise during harmonic and inter-harmonic detection.
Ying Jun, Zhu Yunpeng, He Chao
doaj +1 more source
Research on a Noise Reduction Method Based on Multi-Resolution Singular Value Decomposition
Reducing noise pollution in signals is of great significance in the field of signal detection. In order to reduce the noise in the signal and improve the signal-to-noise ratio (SNR), this paper takes the singular value decomposition theory as the ...
Gang Zhang +6 more
doaj +1 more source
Singular Point Detection figures data [PDF]
Singular Point Detection ...
cabassi, R (via Mendeley Data)
core +1 more source
Fingerprint Singular Point Detection Using Orientation Field Reliability [PDF]
Singular point detection is the most important step in Automatic Fingerprint Identification System (AFIS) and is used in fingerprint alignment, fingerprint matching, and particularly in classification.
Ravinder Kumar +2 more
core +1 more source

