Abstract
Due to ocean environmental noises, the technique for seafloor topography surveying may not availably distinguish true seafloor topography information from noisy echo-sounding signal. Based on Neyman-Pearson criterion and singularity detecting technology through wavelet transform, an optimal wavelet threshold filtering algorithm (OWTF) was proposed to denoise the echo-sounding signal. Echo-sounding data experimental result shows that compared with the traditional approach, OWTF algorithm may mitigate the errors in conventional filtering method, while enhance the utilization ratio of depth information.
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© 2011 Springer-Verlag Berlin Heidelberg
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Xu, W., Yin, X. (2011). An Signal Denoising Method Based on Modified Wavelet Threshold Filtering for Ocean Depth. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_25
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DOI: https://doi.org/10.1007/978-3-642-23756-0_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23755-3
Online ISBN: 978-3-642-23756-0
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