相关实验视频
Updated: Sep 11, 2025

10:04
Sample Drift Correction Following 4D Confocal Time-lapse Imaging
Published on: April 12, 2014
16.5K
概括
本研究介绍了一种基于FPGA的实时方法,用于纠正同质干扰仪的非线性误差,通过减少残余误差和计算负载,显著提高位移测量精度.
科学领域:
- 计量学 计量学 计量学
- 光学工程是指光学工程.
- 信号处理 信号处理
背景情况:
- 同型干扰仪容易导致信号不稳定性 (振幅,相位,直流偏差).
- 这些不稳定性导致动态非线性误差,损害了全程位移测量精度.
- 实时校正对于准确的测量至关重要.
研究的目的:
- 开发一个实时的,非代的非线性校正方法,用于同质干扰仪.
- 为了平衡使用FPGA实现的高精度和计算效率.
- 解决影响测量精度的信号不稳定性问题.
主要方法:
- 实现了基于现场可编程门阵列 (FPGA) 的实时处理方法.
- 使用峰值检测来简化圆配合矩阵.
- 采用基于特征的细分抽样来进行减少顺序的校正.
主要成果:
- 在不稳定的圆信号条件下,剩余误差从1.14nm减少到0.12nm.
- 在25微米位移测试期间,在亚纳米范围内保持非线性误差偏差.
- 与传统方法相比,计算负载减少了两个数量级.
结论:
- 提出的基于FPGA的方法有效地弥补了同质干扰仪中的动态非线性误差.
- 在高校正精度和计算效率之间实现了显著的平衡.
- 尽管信号不稳定,但能够实现更可靠,更精确的全范围位移测量.
更多相关视频
12:14The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
Published on: August 12, 2013
21.9K
11:57Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
Published on: December 1, 2016
10.8K
相关概念视频
Distance Corrections
81
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
81
Doppler Effect - II
3.5K
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
3.5K
Linear Approximation in Time Domain
125
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
125
NMR Spectrometers: Resolution and Error Correction
775
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
775
Doppler Effect - I
3.8K
The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...
3.8K
Linear Approximation in Frequency Domain
131
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
131