Method for detecting signal twitter based on time-frequency domain analysis
A detection method and technology in the frequency domain, applied in the direction of using signal quality detectors for error detection/prevention, correct operation testing, digital transmission systems, etc. Transient jitter and other issues
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0025] Embodiment 1: This embodiment discloses that the frequency components of signal jitter change with time. Such as figure 1 Shown in, the concrete method step of the present invention is:
[0026] Calculate the time trend waveform of the signal under test to obtain its jitter. Various jitter calculation methods whose calculation results can be represented by a time trend are available. In the present embodiment, the detected signal is the clock signal of a certain digital switching equipment, which is recorded and calculated by a digital oscilloscope, and its time interval jitter (TIE) is obtained as follows: figure 2 The TIE time trend waveform of the clock signal shown above. Those skilled in the art know that there are many oscilloscope products with jitter testing, which can measure and record the signal under test and calculate its jitter time trend waveform.
[0027] Decompose the TIE time trend waveform into the time-frequency domain. Converting time domain...
Embodiment 2
[0046] Embodiment 2: This embodiment discloses the time and frequency at which transient jitter occurs. also in accordance with figure 1 The specific steps:
[0047] Transform the signal under test into a time trend waveform of jitter. Tested data is the serial data signal of certain digital exchange equipment in the present embodiment, is detected and recorded by digital oscilloscope and calculates its period jitter (PJ), obtains as follows image 3 The data signal PJ time trend waveform shown in the figure above.
[0048] Decompose the PJ time trend waveform of the data signal into the time-frequency domain. It is realized by formula (2) wavelet transform or formula (3) short-time Fourier transform. In this embodiment, wavelet transform is adopted.
[0049] The result of wavelet transform is in two-dimensional image image 3 Chinese chart description. Here the Y-axis shows frequency components from 0.02MHz to 2MHz in order to include the frequency range where tran...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com