Theoretical analysis of correlation-based quality measures for weighted averaging image fusion

Wei, Chuanming; Blum, Rick S.

doi:10.1016/j.inffus.2009.10.006

Cited by 28 publications

(7 citation statements)

References 17 publications

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“…, 10 are achieved. According to equations (12) and (13), the correlation coefficient in frequency f k between the ith component and the (i + 1) th component is calculated. Therefore, S CCS (f k ) can be achieved by equation (14) and the feature vector of x F4 is {DCSE = 3.237}.…”

Section: Degradation Feature Extraction Based On Lcd-dcsmentioning

confidence: 99%

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Degradation feature extraction of hydraulic pump based on LCD-DCS fusion algorithm

Sun

Tian

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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Hydraulic pump degradation feature extraction is a key step of condition-based maintenance. In this article, a novel method based on local characteristic-scale decomposition (LCD) and discrete cosine transform-composite spectrum (DCS) fusion algorithm is proposed. In order to reduce noises and other disturbances, vibration signals are first processed by LCD with the high frequency harmonic. Detail components with sensitive information are achieved by the selection of intrinsic scale components. Furthermore, on the basis of the earlier composite spectrum (CS), the DCS fusion algorithm is proposed to make fusion of the obtained detail components for improving the feature performance. The DCS entropy is extracted as the fault degradation feature. Analysis of the hydraulic pump degradation experiment demonstrates that the proposed algorithm is feasible and effective to indicate the performance degradation of the hydraulic pump.

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Section: Degradation Feature Extraction Based On Lcd-dcsmentioning

confidence: 99%

“…9,10 However, the weighted fusion algorithm is subjective to adjust the fusion weights. 11,12 The Kalman filtering algorithm lacks the strict filtering functions for nonlinear system. 13,14 The wavelet analysis fusion algorithm may lose some sensitive information during the sampling operation.…”

Section: Introductionmentioning

confidence: 99%

Degradation feature extraction of hydraulic pump based on LCD-DCS fusion algorithm

Sun

Tian

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Some other contributions to image fusion, MIMO radar, communications and smart grid are reported in [3,7,12,25,27,30,31]. Here we have tried to use some of the ideas and techniques studied under this funding for some different applications from those previously considered, mainly radar and sensor networking.…”

Section: Accomplishments (All References From List In Section 5)mentioning

confidence: 99%

Networking Sensors for Information Dominance - Joint Signal Processing and Communication Design

Blum¹

2012

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“…Common signal processing methods are the wavelet analysis algorithm, the Empirical Mode Decomposition (EMD) algorithm, the weighted fusion, the Kalman filtering [2]. However, the performances based on these conventional algorithms are not appropriate for inadvertent modulation signal processing [3][4][5][6]. Being one of the late proposed algorithms for signal preprocessing, Morphological Undecimated Wavelet Decomposition (MUWD) omits the sampling operation during the decomposition and reconstruction, which avoids the distortion [7][8].…”

Section: Introductionmentioning

confidence: 99%

A Novel Inadvertent Modulation Signal Processing Method

Li¹,

Sun²,

Fu³

2019

dtcse

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Inadvertent modulation feature is the most valuable evidence for the identification. In order to effectively achieve the inadvertent modulation information, a signal processing method based on WMUWD is presented. Firstly, the inadvertent modulation signal model is established. Then the method of WMUWD for signal decomposition is proposed and approximate signals are fused according to mutual information for reducing unnecessary information. Simulation results show that the method is feasible to process the inadvertent modulation signal.

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Theoretical analysis of correlation-based quality measures for weighted averaging image fusion

Cited by 28 publications

References 17 publications

Degradation feature extraction of hydraulic pump based on LCD-DCS fusion algorithm

Degradation feature extraction of hydraulic pump based on LCD-DCS fusion algorithm

Networking Sensors for Information Dominance - Joint Signal Processing and Communication Design

A Novel Inadvertent Modulation Signal Processing Method

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