首页> 外文会议>International conference on artificial neural networks >Tdnn Approach to Measuring Raindrop Sizes and Velocities
【24h】

Tdnn Approach to Measuring Raindrop Sizes and Velocities

机译:测量雨滴尺寸和速度的TDNN方法

获取原文

摘要

The paper describes a TDNN solution to a signal processing problem in the meteorological and telecommunications domains. Optical disdrometers measure raindrop sizes and velocites by registering changes in photodiode current as the droplets pass through a collimated light beam. In an improved dual-beam device being built at CETP, feature extraction MLPs applied to 20-sample windows of photodiode current provide input to a higher-level network which reconstructs droplet velocities and diameters in real time. In tests on simulated data, measurement precision is quite good for droplets as small as.05 mm radius. The algorithm can be executed either directly on the acquisition PC, or on a neural net coprocessor for additional speedup.
机译:本文介绍了气象和电信域中信号处理问题的TDNN解决方案。光学歧波仪通过在液滴通过准直光束时测量光电二极管电流的变化来测量雨滴尺寸和Velocites。在构建在CETP的改进的双梁装置中,施加到光电二极管电流的20样本窗口的特征提取MLP为更高级别的网络提供输入,该网络实时地重建液滴速度和直径。在模拟数据的测试中,测量精度对于小于05 mm半径的液滴非常好。该算法可以直接在采集PC上执行,或者在神经网络协处理器上执行以进行额外的加速。

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