相关实验视频

Updated: May 2, 2026

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.2K

一个离位参数优化算法用于在光子计数激光雷达中进行否定

Zhuangbin Tan1, Yan Zhang2, Ziwen Sun1

  • 1School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen 518107, China.

Entropy (Basel, Switzerland)
|November 27, 2024
PubMed
概括

这项研究引入了一种改进的光子计数方法,以减少激光雷达系统中的噪声干扰. 新的算法提高了射程精度,使激光雷达在具有挑战性的条件下更加可靠.

关键词:
在MLP网络中,MLP网络是最重要的.反噪声方法的方法.线性转换是指线性转换.偏移参数优化方法的方法距离错误的距离错误是一个错误.太阳能背景噪声 太阳能背景噪声

更多相关视频

Test Samples for Optimizing STORM Super-Resolution Microscopy16:52

Test Samples for Optimizing STORM Super-Resolution Microscopy

Published on: September 6, 2013

31.1K
Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy14:23

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Published on: March 6, 2018

10.8K

相关概念视频

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
9.0K