Self-adaptive sampling recovery method based on FRI

A technology of adaptive sampling and recovery method, which is applied in the field of information and communication, and can solve the problem of low sampling rate

Active Publication Date: 2015-06-24
HARBIN INST OF TECH
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Take advantage of this property of the signal, allowing sampling rates significantly lower than the Nyquist rate

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
  • Self-adaptive sampling recovery method based on FRI
  • Self-adaptive sampling recovery method based on FRI
  • Self-adaptive sampling recovery method based on FRI

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0072] The specific embodiment one, based on the FRI adaptive sampling recovery method, it is realized by the following steps:

[0073] Step 1: Determine the accuracy requirements of the signal according to specific application scenarios and channel conditions. Specifically, the recovered accuracy w can be used to describe the degree of accuracy. w=1 means that the Nyquist sampling law is used to recover the signal without distortion; w=0 means that the number of sampling points is 0, and the signal cannot be recovered at all. The free value of w between 0 and 1 can represent different signal recovery precision. As for the selection of w, you can manually input a certain value between 0 and 1 to manually control the accuracy of the signal in real time, or you can choose the most suitable classic value in a specific application scenario determined through trial and error.

[0074] Step 2: Perform FFT transformation (Fast Fourier Transformation) on the original signal, that is...

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 invention provides a self-adaptive sampling recovery method based on FRI and relates to the field of information and communication technology. The self-adaptive sampling recovery method aims at reducing the number of sampling points and improving sampling efficiency, thereby improving recovery precision of signals. According to the method, the number of sampling points can be intelligently selected according to specific application scenarios, and the maximum signal recovery precision can be obtained by means of the least number of the points. Under certain application scenarios such as military guided missile navigation signals, the requirement for precision of signals is high, and at the moment, a larger number of sampling points can be selected through an algorithm so that the maximum recovery precision can be obtained. But in other application scenarios such as interphones for civil use, the requirement for signals is not high, and at the moment, a smaller number of sampling points can be selected through a self-adaptive recovery algorithm so that high sampling efficiency can be guaranteed. Meanwhile, the number of kinds of signals which can be processed according to the FRI theory can be increased through the self-adaptive sampling recovery method, so the self-adaptive sampling recovery method can be used for handling not only discrete Dirac flow but also random time continuous signals. The self-adaptive sampling recovery method is applied to self-adaptive sampling recovery occasions of signals.

Description

technical field [0001] The invention relates to the technical field of information and communication. Background technique [0002] In classical sampling theory, the highest frequency of a band-limited signal is f max , when the sampling rate is greater than or equal to the Nyquist rate 2f max , the signal can be completely reconstructed from its samples. But most signals in the real world are either unrestricted in bandwidth or have very large bandwidth. Processing these signals requires a fairly high Nyquist rate to sample the band-limited signal. Thus, expensive hardware samplers and high-throughput digital processors are required. Therefore, we need to find some ways to reduce the sampling rate on the premise of ensuring the recovery accuracy of the signal, which can reduce the number of sampling points that need to be processed and greatly reduce the cost. [0003] Currently, many methods for reducing the sampling rate have been proposed. For example, compressed s...

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 Applications(China)
IPC IPC(8): H03M7/30
Inventor 贾敏王世龙顾学迈郭庆刘晓锋王雪张光宇王欣玉
Owner HARBIN INST OF TECH
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
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap