Research on the Method of De-noising the Short-wave Time Signal at Low SNR |
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| Institution: | 1. School of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024;2. School of Astronomy and Space Science, Nanjing University, Nanjing 210034;1. Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101;2. School of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Beijing 100049;3. Shandong Zhengyuan Construction Engineering Co. Lit., Jinan 250100;1. Department of Astronomy, University of Science and Technology of China, Hefei 230026;2. Polar Research Institute of China, Shanghai 200136;3. Center for Astrophysics, Guangzhou University, Guangzhou 510006;4. Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216;1. Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033;2. Department of Astronomy, University of Science and Technology of China, Hefei 230026;3. George P. and Cynthia Woods Mitchell Institute for Fundamental Physics & Astronomy, Texas A. & M. University, Department of Physics and Astronomy, Texas TX 77843;4. Chinese Center for Antarctic Astronomy, Nanjing 210033;5. Physics Department and Qinghua Center for Astrophysics, Qinghua University, Beijing 100084;6. The Observatories of the Carnegie Institution for Science, California CA 91101;7. Department of Astrophysics, University of New South Wales, New South Wales NSW 2052;1. Yunnan Astronomical Observatory, Chinese Academy of Sciences, Kunming 650011;2. Key Laboratory for the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, Kunming 650011;3. University of Chinese Academy of Sciences, Beijing 100049;1. School of Mathematics and Statistics, Xidian University, Xi''an 710071, PR China;2. LSEC, ICMSEC, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, PR China;3. Department of Applied Mathematics, School of Science, Northwestern Polytechnical University, Xi''an 710129, PR China;4. College of Mathematics, Sichuan University, Chengdu 610043, PR China;5. School of Science, Chang''an University, Xi''an 710064, PR China |
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| Abstract: | A voice enhancement algorithm based on the Empirical Mode Decomposition (EMD) and the improved spectral subtraction is proposed for the low-SNR (Signal Noise Ratio) shortwave time signal. This method is proposed to solve the problem that the shortwave time signal cannot be used for timing in complex noisy environments. The core idea of this method is to use the Hilbert-Huang Transform (HHT) algorithm to make the empirical mode decomposition on the noisy shortwave signal, and to select the intrinsic mode functions containing the shortwave signal information for the signal reconstruction by through the maximum correlation. Then, to make the spectral subtraction on the reconstructed signal to achieve the purpose of noise reduction. The experimental result shows that this method has a better noise reduction than the traditional methods. |
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| Keywords: | Short-wave Time service Empirical Mode Decomposition (EMD) spectral subtraction |
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