Equivalent-Time Waveform Correction for Noise and Jitter Compensation
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Solution Overview
Problem
Existing techniques struggle to accurately compensate for noise and jitter in equivalent-time sampling systems, leading to inaccuracies in signal analysis and interpretation, particularly in applications requiring high precision and fidelity, as they fail to address non-uniform noise distributions and jitter effects.
Innovation Solution
A digital signal processing method involving low-pass filtering, regression modeling, and waveform reconstruction to estimate and compensate for multiple noise sources, including additive noise, jitter-induced noise, and relative intensity noise, while preserving signal-dependent characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing noise removal techniques are applied to equivalent-time waveforms, then some noise reduction is achieved, but the non-uniform noise distribution and jitter effects cannot be accurately addressed, leading to measurement inaccuracies
Solution Approach 1:
The patent segments the noise removal process into distinct stages: separating deterministic signal components from stochastic noise components, then further decomposing the residual noise into jitter-induced noise and non-jitter noise components. This segmentation allows each noise type to be handled with appropriate processing techniques, improving measurement accuracy without overwhelming complexity.
Solution Approach 2:
The patent introduces an intermediary processing stage that computes a residual waveform by subtracting the deterministic component from the measured waveform. This residual serves as a mediator that isolates noise components for separate analysis and compensation, enabling accurate handling of non-uniform noise distributions and jitter effects.
2Object-affected harmful factors
If aggressive noise filtering is applied to remove all noise components, then noise reduction is improved, but signal-dependent noise characteristics are lost, resulting in inaccurate signal representation
Solution Approach 1:
The patent applies local quality by treating different noise components differently based on their characteristics. Jitter-induced noise is compensated through specific techniques that preserve signal-dependent variations, while non-jitter noise is removed. This selective processing maintains signal fidelity by preserving meaningful signal-dependent noise while eliminating harmful random noise.
Solution Approach 2:
The patent employs feedback mechanisms where the processed waveform is continuously compared with the original measured waveform, and the processing parameters are adjusted to maintain accurate representation of signal-dependent noise characteristics while removing unwanted noise components.
Data Source
AI summary
A digital signal processing method is for enhancing fidelity of equivalent-time waveform measurements. The method includes receiving a digitized equivalent-time waveform of a repeating signal under test (SUT), applying a low-pass filter to the digitized equivalent-time waveform to obtain a smoothed waveform, generating a residual waveform by subtracting the smoothed waveform from the digitized equivalent-time waveform, estimating contributions of multiple noise sources in the residual waveform using a regression model, computing target noise and jitter values by removing known intrinsic contributions, and reconstructing a corrected waveform by combining the smoothed waveform with a scaled version of the residual waveform, wherein the scaling is based on the target noise source contributions.