彭继慎, 张志超, 韩彦春. 新阈值函数的自适应去噪[J]. 微电子学与计算机, 2016, 33(4): 81-85.
引用本文: 彭继慎, 张志超, 韩彦春. 新阈值函数的自适应去噪[J]. 微电子学与计算机, 2016, 33(4): 81-85.
PENG Ji-shen, ZHANG Zhi-chao, HAN Yan-chun. A Denoising Algorithm Based on a New Threshold Function Appling Adaptive Learning Algorithm[J]. Microelectronics & Computer, 2016, 33(4): 81-85.
Citation: PENG Ji-shen, ZHANG Zhi-chao, HAN Yan-chun. A Denoising Algorithm Based on a New Threshold Function Appling Adaptive Learning Algorithm[J]. Microelectronics & Computer, 2016, 33(4): 81-85.

新阈值函数的自适应去噪

A Denoising Algorithm Based on a New Threshold Function Appling Adaptive Learning Algorithm

  • 摘要: 提出了一种新阈值函数.新阈值函数连续性良好, 且高阶可导, 可进行各种数学处理, 提高了阈值的自适应能力.在新阈值函数的基础上, 利用自适应方法对信号进行消噪处理, 选取最优阈值参数, 达到最优的消除噪声效果.

     

    Abstract: The paper presents a new threshold function. The continuity of the new function is well, besides the function has high-level differentiability. The function can conduct a variety of mathematical processing, thus the adaptive capacity is improved. Signal denoising using adaptive learning algorithm can get the best threshold value based on the new function and achieve the optimal denoising effect.

     

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