Abstract
Donnoho et have proposed a method for de-noising by threshold, which has been used in many signal de-noising and compression problems. But the method of Dohono is not successful for impulsive noises. We have proposed a method, which detect and wipe off impulse noise, then de-noising by shift-invariant wavelet . Simulation results indicate that: it can better detect and reduce the impulsive noise and it can reduce the noise while keeping the signal edges better compared to other wavelet based denoising algorithms.
This project is supported by key projects of Scientific and technological support plan of Tianjin (08ZCKFGX04000) and Fund Project of Tianjin University of Technology and Education(KJ0821).
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Guang-hui, L., Xing-hui, Z. (2012). A Pulse Denoising Method Based on Wavelet Transform. In: Wu, Y. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03718-4_140
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DOI: https://doi.org/10.1007/978-3-642-03718-4_140
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