A Mothed of Spectrum Data Real-time Acquisition with Wavelet Firm Shrinkage Filtering

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A Mothed of Spectrum Data Real-time Acquisition with Wavelet Firm Shrinkage Filtering

Article | 更新时间：2020-08-12

- A Mothed of Spectrum Data Real-time Acquisition with Wavelet Firm Shrinkage Filtering
- Optics and Precision Engineering Vol. 18, Issue 2, Pages: 357-362(2010)
- 作者机构：
  
  长春光学精密机械与物理研究所2. 中国科学院长春光机所3. 中国科学院长春光学精密机械与物理研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP216;TH744.12
- Received：15 July 2009，
  
  Revised：01 December 2009，
  
  Published Online：20 February 2010，
  
  Published：20 February 2010
- 稿件说明：
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李正刚,吴一辉,宣明. 小波firm阈值滤波的光谱实时采集方法[J]. 光学精密工程, 2010,18(2):357-362

A Mothed of Spectrum Data Real-time Acquisition with Wavelet Firm Shrinkage Filtering[J]. Optics and precision engineering, 2010, 18(2): 357-362.
李正刚,吴一辉,宣明. 小波firm阈值滤波的光谱实时采集方法[J]. 光学精密工程, 2010,18(2):357-362 DOI：

A Mothed of Spectrum Data Real-time Acquisition with Wavelet Firm Shrinkage Filtering[J]. Optics and precision engineering, 2010, 18(2): 357-362. DOI：

摘要

为了提高微型光谱仪光谱采集精度，提出了一种利用小波域firm阈值滤波去除随机噪声的方法。首先采集2次光谱谱线，取均值作为待处理谱线。然后计算出这两次谱线的噪声标准差取代传统小波去噪中的噪声标准差估计，运用通用阈值法作为上阈值。调整下阈值将待处理谱线小波firm阈值滤波，并判断滤波后偏差是否在计算的噪声方差内。实验结果表明：优于传统10次平均法，在高采集精度的基础上提高了采集速度。在以光纤光谱仪为主体的微型生化分析仪样品检测过程中的应用表明：提高了检测精度，减少了检测时间

提高效率4-5倍。

Abstract

In order to improve the performance of Biochemical Analyzer

A Mothed of Spectrum Data Real-time Acquisition with Wavelet Filtering was presented in the paper. Average spectrum was calculated based on the two spectra which were collected. And the noise variance was calculated as the next threshold instead of noise variance estimation. Threshold will be adjusted on line deal with wavelet filtering. And give the evaluation criteria

in favor of the computer automatically. The experiment proved that superior to the traditional 10 times averaging method

the accuracy at high acquisition improve on the basic acquisition speed.In the main fiber-optic spectrometer for micro-biochemical analyzer Samples Detect application process showed that: improve the detection accuracy and reduce the detection time

increase efficiency by 4-5times.

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中国科学院长春光学精密机械与物理研究所

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