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An insulation condition assessment method of the transformer is proposed in this paper. The set pair analysis and the expert evaluation method based on the set-valued statistics are adopted to assess insulation condition of the quantitative index and the qualitative index respectively according to the insulation condition assessment model of the transformer which is built. The subjective weight of...
Image modality synthesis has attracted much attention recently. In this paper, we propose a general framework for modality synthesis, which utilizes features such as the intensity histogram and the Weber Local Descriptor. A novel distance measure is proposed to search the most similar patch from the database. After identifying the corresponding patch in the database, modality synthesis becomes straightforward...
This paper uses orthogonal empirical mode decomposition (OEMD) to decompose the mixed signal into a set of intrinsic mode functions (IMF). Different from traditional noise removing method, OEMD can both suitable for non-linear and non-stationary hypothesis with good adaptability. After processing of OEMD, IMFs will be analyzed for the correlation between each other. Finally, recovers the source signal...
Noise reduction has a lot attention no matter in practical applications or a signal processing research field. Recently, a novel denoisy method which removes noise from received signals by threshold operation on wavelet coefficients was developed and its efficiency has been confirmed. However, its definition of parameters is not general-purpose enough to deal with variant cases. In order to seek high...
Commerce is an important part of national economy and it plays an influential role to national economic growth; our country (China) also pays more and more attention to commercial development, for example the commercial affairs department decided to start establishing works of the commercial network plans of cities in 2008. This article wants to explain the importance and present situation of commerce...
Recently, the research which based on wavelet representation to reduce noise has gotten a lot of attention. The most typical method, universal threshold proposed by Donoho, and its derivative methods have verified their efficiency on varied applications. Some settings which are signal-dependence are critical; however, they were usually given by trial and error or a rough estimate in existing algorithms...
For the research field of adaptive de-noisy, the technique which determinates an adequate threshold in wavelet domain of signal is novel and feasible. The most of threshold determination are developed from universal method proposed by Donoho. Unfortunately, these methods are just performed in some wavelet level and involve several incorrectly estimated factors; therefore, they can't result the best...
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