Eye diagram generation method and system based on high-resolution oscilloscope

By constructing an effective delay set and sparse nonlinear inverse filtering, combined with second derivative and quantization noise analysis, a high dynamic range histogram is generated. This solves the problems of edge detail compression and inaccurate bit error rate representation in traditional eye diagram generation methods, and realizes the complete presentation of high-frequency edges and low-probability regions and the regular distribution of bit error rate.

CN121762895APending Publication Date: 2026-03-31成都玖锦科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-16
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

Traditional eye diagram generation methods compress the true changes at high-frequency edges, limit the construction of amplitude-counting grayscale, weaken low-probability waveform details, and make it difficult to accurately represent random fluctuations in the tail region due to the display refresh mechanism. This results in residual edge transition details and nonlinear distortion, making accurate analysis difficult.

Method used

By analyzing the linear channel impulse response sequence, an effective delay set is constructed, higher-order cross-product terms are obtained, sparse nonlinear inverse filtering is performed, second-order derivative sequences are calculated, high dynamic range histogram data is generated, bit error rate profiles are screened, and discrete probability weight matrices are constructed by combining the quantization noise standard deviation. Subpixel diffusion and iterative optimization are then performed to generate high-confidence bit error rate profiles.

Benefits of technology

Enhanced amplitude and time detail compensation, separation of true edge intervals, ensuring complete preservation of the statistical morphology of low-probability regions, regular distribution of error-related boundaries, and improved accuracy and resolvability of eye diagrams.

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Abstract

The invention relates to the technical field of waveform display, in particular to an eye pattern generation method and system based on a high-resolution oscilloscope, and the method comprises the following steps: analyzing a channel impact response, extracting effective delay, defining an operation kernel range, constructing sparse inverse filtering compensation distortion, judging an edge generation eye pattern track, and quantifying noise as a weight to carry out sub-pixel diffusion. According to the method, a delay set is established, a non-linear participation range is made to fit real channel behaviors, a high-order cross product is constructed in an original waveform, detail compensation of amplitude and time is enhanced in a sparse inverse filtering mode, and zero point and amplitude characteristics of a second derivative are combined, so that the error rate contour is deduced. A real edge interval is separated, continuous diffusion is formed in a histogram through a discrete probability weight constructed by quantizing noise, so that a statistical form of a low-probability region is completely reserved, and an error code related boundary presents a regular distribution structure in combination with a tail probability gradient.
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