Signal Integrity Analysis Using MATLAB

Signal Integrity analysis at the MATLAB command line

Use the objects at the MATLAB command line to:

  • Determine characteristics of transmission lines using time-domain reflectometry from S-parameters

  • Reconstruct nonlinear multiple-edge response (MER) waveform

  • Estimate the MER statistical eyes of nonlinear systems

  • Calculate signal-to-noise-and-distortion ratio (SNDR) and Level Mismatch Ratio (RLM) for PCIe standards.

Objects

tdrCharacterize impedance discontinuities from S-parameters using TDR (Since R2025a)
sndrSignal to noise and distortion ratio for serial link standards (Since R2025a)
si.MERReconstruct MER waveform and estimate MER statistical eye of nonlinear systems (Since R2024b)

Functions

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createTDRTableReturn TDR results as MATLAB table (Since R2025a)
plotPlot TDR response (Since R2025a)
tdr.automaticPortOrderingDisplay port ordering of S-parameter data (Since R2025a)
tdr.sParamQualityReturn S-parameter quality metrics (Since R2025a)
plotAveragingResultsPlot waveform averaging process results (Since R2025a)
plotDataPatternPlot data pattern (Since R2025a)
plotLPFRPlot linear pulse fit response results (Since R2025a)
plotMPFR4Plot multiple pulse fit response PAM4 results (Since R2025a)
plotMPFROddEvenPlot multiple pulse fit response odd/even results (Since R2025a)
plotSigmaNoisePlot sigma noise value against pattern repetition (Since R2025a)
plotVLikPlot voltages sampled from resampled wave used for noise estimation (Since R2025a)
plotWaveResampledPlot resampled waveform (Since R2025a)
reportReport calculated SNDR and RLM for specified standard (Since R2025a)
makeWaveCreate symbol pattern waveform (Since R2024b)
estimateStateyeGenerate statistical eye from effective step responses (Since R2024b)
validateWaveCompare MER waveform to reference waveform (Since R2024b)
plotInputsPlot input waveforms and MER effective step responses (Since R2024b)
plotValidationPlot reconstructed, reference, and error waveforms (Since R2024b)
plotStateyePlot statistical eye of reconstructed MER waveform (Since R2024b)
plotPDFsPlot PDFs of MER waveforms (Since R2024b)

Topics

Featured Examples

Single Ended Via Analysis with Placement of Ground Return Vias for 40+ Gbps Signaling

Single Ended Via Analysis with Placement of Ground Return Vias for 40+ Gbps Signaling

Model the return path of single ended printed circuit board vias using the viaSingleEnded object.

(RF PCB Toolbox)

Calculate SNDR and RLM with System Object Scripting

Calculate SNDR and RLM with System Object Scripting

Calculate the Signal-to-Noise and Distortion Ratio (SNDR) and Ratio of Level Mismatch (RLM) for waveforms generated by using scripting for MATLAB System Objects. SNDR and RLM are important metrics for standards such as PCIe6 and PCIe7 [1] as well as IEEE 802.3 and OIF-CEI interface standards.

Calculate SNDR and RLM with SerDes Simulink Model

Calculate SNDR and RLM with SerDes Simulink Model

Calculate the signal-to-noise and distortion ratio (SNDR) and ratio of level-mismatch (RLM) at the transmitter package channel output with a SerDes Toolbox™ Simulink™ model. You can leverage the model to create a PCIe7 IBIS-AMI model for use in the Serial Link Designer from Signal Integrity Toolbox™.

Calculate SNDR and RLM with IBIS-AMI Simulator

Calculate SNDR and RLM with IBIS-AMI Simulator

Calculate the signal-to-noise and distortion ratio (SNDR) and ratio of level mismatch (RLM) for waveforms generated by the IBIS-AMI simulator Serial Link Designer. SNDR and RLM are important metrics for standards such as PCIe6 and PCIe7 [1] as well as IEEE 802.3 and OIF-CEI interface standards.