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On the assumption that the seismic wavelet is causal and nonminimum phase, an ARMA model is introduced to fit the seismic trace. The SVD method based on autocorrelation is used to determine AR order; and the author proposes a new MA model order determination method via combining the information theoretic criteria method with the method based on higher-order cumulant in order to improve the accuracy...
The amount prediction of gas emitted from the mine is very important matter for safety which has been researched by means of all kinds of neural networks. In this paper, wavelet neutral network (WNN) was applied to the prediction system base on grey correlation analysis, which was used for the pre-processing of input and output data sequence. The test results obtained show that the new prediction...
Image registration is considered one of the most fundamental and crucial pre-processing tasks in digital imaging. This paper describes a fast multimodal automatic image registration algorithm that handles the alignment of IR and visible images. A multiresolution approach based on dual tree-complex wavelet transform is employed to speed up the process. At the coarsest level, an accurate registration...
Traditionally, the sewer inspection usually discovers sewer failures on numerous CCTV images by human interpretation. However, it remains to be improved in both consideration of economic and efficient due to humanpsilas fatigue and subjectivity. To enhance the sewer inspection approaches, this paper attends to employ artificial intelligence into image process to extract the failure features of the...
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