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Sonar detection has important application in underwater topography exploration and underwater scene detection, inevitably sonar image is transmitted through the underwater acoustic channel, but the particularity of underwater acoustic channel has brought a lot of limitations to underwater image transmission, so how to make effective collection, compression and transmission of underwater image to promise...
Frequency estimation in passive location based on non-cooperative information sources plays an important role. And existing methods such as wavelet transform (WT) can't satisfy the precision of frequency estimation what is needed in location. In order to solve the puzzle, the Hilbert-Huang transform(HHT) is adopted in this article. HHT is based on the local characteristics of signals, which is an...
In this paper, a new synthetic aperture radar(SAR) image segmentation approach based on fusion is proposed. The wavelet transform algorithm and morphology reconstruction algorithm fusion technique can preserve more spatial feature and more functional information content, respectively. The new fusion method are adopted 2 SAR images of the same area taken with overexposure and under exposure are used...
This paper proposes an image quality evaluation model, in which the image distortion is analyzed quantificationally in wavelet domain. Properties of human visual system are incorporated into this model. Besides objective assessment, it simulates some visual perception features: visual nonlinear, band-pass visual sensitivity and visual multi-channels. It has simple structure and easy-to-use, experimental...
In this paper, we present a mesh-based motion estimation method in the wavelet domain. The Overcomplete Discrete Wavelet Transform (ODWT) is utilized to overcome the shift-variant property of the Discrete Wavelet Transform (DWT). Due to the good adaptation of non-translational motion, triangular mesh motion estimation is applied in the low frequency subband of the current frame. The initial motion...
Transformer faults are quite complicated phenomena and can occur due to a variety of reasons. There have been several methods for transformer fault synthetic diagnosis, but each of them has its own limitations in real fault diagnosis applications. In order to overcome those shortcomings in the existing methods, a new transformer fault diagnosis method based on a wavelet neural network optimized by...
This paper proposes a new framework for scalable video coding. A mesh-based motion estimation model is designed and applied in this scheme, which generates a continuous motion field. The temporal correlation is exploited by Barbell Lifting. Different wavelet coding algorithms are presented to remove the spatial redundancy of low and high-pass temporal subbands. Experimental results show that our proposed...
Voltage sags due to line fault, transformer energizing and induction motor starting were analyzed based on an PSB (power system blockset) simulation model in the paper at first. Then presents a method to identify and classify interference source of voltage sag in distribution system using a novel combination of wavelet transform and artificial neural network. The simulated waves were discomposed into...
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