首页> 外文会议>Infrared Sensors: Detectors, Electronics, and Signal Processing >Adaptive notch filter for removal of coherent noise from infrared scanner data
【24h】

Adaptive notch filter for removal of coherent noise from infrared scanner data

机译:自适应陷波滤波器,用于消除红外扫描仪数据中的相干噪声

获取原文
获取原文并翻译 | 示例

摘要

Abstract: This paper addresses the use of an adaptive noise canceling technique to eliminate the coherent noise generated in scanner data. The technique is based on a Finite Impulse Response (FIR) adaptive noise canceler. A two-weight FIR filter is used to adaptively learn the characteristics of a sinusoid. This sinusoid is then removed from the data. The least Mean Squares (LMS) algorithm is used to converge to the coefficients of the adaptive filter during the learning process. An image corrupted with a single frequency periodic noise is used for investigating the algorithm. It is observed that the efficiency of the algorithm is dependent on the convergence gains and the initial positioning of the weights of the FIR filter. Because of the computational simplicity of the algorithm, it is possible to implement this in real-time mode.!4
机译:摘要:本文致力于使用自适应噪声消除技术来消除扫描仪数据中产生的相干噪声。该技术基于有限冲激响应(FIR)自适应噪声消除器。两重FIR滤波器用于自适应学习正弦曲线的特性。然后从数据中删除该正弦曲线。最小均方(LMS)算法用于在学习过程中收敛到自适应滤波器的系数。用单频周期性噪声破坏的图像用于研究该算法。可以看出,算法的效率取决于收敛增益和FIR滤波器权重的初始位置。由于该算法的计算简单性,因此可以在实时模式下实现!4

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号