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A Derivative Spectrum Smoothing Method Based on Signal Segment Classification

A technology of smoothing and segment classification, which is applied in electrical digital data processing, special data processing applications, spectrum analysis/Fourier analysis, etc., to improve signal-to-noise ratio, maintain peak denoising effect, and peak shape protection effect better effect

Active Publication Date: 2022-02-01
NANJING UNIV OF INFORMATION SCI & TECH
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] In the smoothing method of the derivative spectrum, the unified processing method has certain defects

Method used

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  • A Derivative Spectrum Smoothing Method Based on Signal Segment Classification
  • A Derivative Spectrum Smoothing Method Based on Signal Segment Classification
  • A Derivative Spectrum Smoothing Method Based on Signal Segment Classification

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Embodiment 1

[0047] like figure 1 As shown, the present invention is based on the derivative spectrum smoothing method of signal segment classification, and the specific steps are as follows:

[0048] (1) Input the noise-containing derivative spectrum signal to be processed s(x)=y(x)+n(x), x∈X, where x is a data point in the signal s(x), y(x) Represents a clean signal, n(x) represents noise, and X represents a collection of data points x;

[0049] (2) The above-mentioned noise-containing derivative spectrum signal is segmented and divided into several equal-length signal segments; the segment length range is 5-15 data points, and the segment interval is greater than 1 data point and less than the length of the signal segment, To ensure that each point is smoothed;

[0050] (3) Classify and match the several signal segments obtained by segmenting. The signal segments in each category are arranged into a two-dimensional array according to the size of the similarity, and the similar data m...

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Abstract

The present invention proposes a derivative spectrum smoothing method based on signal segment classification, which can further protect peak features while denoising. The present invention obtains the final denoising result by segmenting the noise-containing derivative spectrum signal, classifying and matching, hard threshold denoising, wavelet transform and Wiener filtering. Before processing the derivative spectrum signal, a step of classifying and matching the signal segment is added, and the similarity of the signal is used to improve the signal-to-noise ratio. The smoothing method has a better peak-preserving and de-noising effect on the derivative spectrum; the method is simple to apply, saves a lot of calculation process, has better peak shape protection effect, and has better application prospects.

Description

Technical field: [0001] The invention relates to a method for smoothing and peak-preserving a derivative spectrum, in particular to a method for processing peak-preserving and smoothing based on signal segment classification and matching. Background technique: [0002] The derivative method is a commonly used method in signal analysis applications. Initially, the derivative spectrum was used to enhance the signal. With the deepening of the research, the derivative method has been widely used in the identification of spectral peaks and the improvement of spectral resolution. In recent years, there have been more and more researches on derivative spectra. In biological, medical and other analytical applications, derivative spectra have the characteristics of directly measuring the components of complex samples without separation, and can quickly and accurately identify and quantify samples. analyze. In chemical sample analysis, peak position is characteristic of a compound, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R23/16G06F17/14G06K9/00
CPCG01R23/16G06F17/148G06F2218/06
Inventor 周慧敏李远禄赵伟静孙双龙李腾
Owner NANJING UNIV OF INFORMATION SCI & TECH
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