Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Adaptive High Accuracy Fast Spectrum Analysis Method

A spectrum analysis, high-precision technology, applied in the field of spectrum analysis of digital signals, can solve problems such as poor precision, large error and so on

Active Publication Date: 2016-01-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of the current spectrum analysis method with large errors and poor precision, and provide an adaptive high-precision fast spectrum analysis method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Adaptive High Accuracy Fast Spectrum Analysis Method
  • Adaptive High Accuracy Fast Spectrum Analysis Method
  • Adaptive High Accuracy Fast Spectrum Analysis Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0052] The self-adaptive high-precision fast spectrum analysis method of the embodiment of the present invention is as follows: first collect the analog signal to be processed, then perform preprocessing and filtering on the collected analog signal, and then perform analog-to-digital conversion on the preprocessing and filtering analog signal to obtain the sample data, and then pick 2 from the sampled data 8 Perform FFT processing on each data to obtain preliminary signal spectrum information, and then perform peak search on the preliminary signal spectrum information to obtain the peak value, and then carry out spectral line aliasing identification on the preliminary signal spectrum information to determine whether the spectral line is aliased, If not, carry out spectrum correction processing on the preliminary signal spectrum information to obtain the frequency, amplitude and initial phase information of the signal; The frequency, amplitude and initial phase information of t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention relates to digital signal processing technology. The present invention solves the problem of large error and poor precision in the existing spectrum analysis method, and provides an adaptive high-precision fast spectrum analysis method. Perform analog-to-digital conversion to obtain sampling data, then select 28 data for FFT processing to obtain preliminary signal spectrum information, then perform peak search, and then carry out spectral line aliasing identification on the preliminary signal spectrum information, if there is no aliasing, then Perform spectrum correction processing on the preliminary signal spectrum information to obtain the frequency, amplitude and initial phase information of the signal. If there is aliasing, perform complex analysis band-pass filter refinement processing on the preliminary signal spectrum information, and then perform spectrum correction processing, respectively. Get the frequency, amplitude and initial phase information of the signal. The beneficial effect of the invention is that under the premise of guaranteeing the calculation accuracy, the calculation amount is greatly reduced, and the method is suitable for frequency spectrum analysis.

Description

technical field [0001] The invention relates to digital signal processing technology, in particular to frequency spectrum analysis technology of digital signal. Background technique [0002] Signal spectrum analysis has always been one of the hotspots in digital signal processing, and obtaining signal spectrum information is the key point in many fields. Since Cooely-Tukey first published the FFT (Fast Fourier Transform, Fast Fourier Transform) algorithm in the journal "Mathematics of Computation" in 1965, FFT and spectrum analysis have quickly developed into mechanical equipment fault diagnosis, power systems, and radio communications. It is an important theoretical basis for various disciplines such as computer science and information image processing, and is a dynamic signal processing method that is widely used. On the basis of the FFT algorithm, many processing methods have been derived, such as ZoomFFT (Zoom-FastFourierTransform, zoom Fast Fourier Transform), MEM (Max...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01R23/167
Inventor 刘霖倪光明陈伟唐雪松宋昀岑刘娟秀杨先明陈镇龙罗颖
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products