ADCToolbox#
ADC characterization for Python
ADCToolbox
Spectrum analysis, SAR modeling, digital calibration, and debug dashboards for converter development.
Complete Documentation#
Browse the Sphinx docs
Common Starting Points#
Set up the package, upgrade an existing install, and verify your local Python environment.
Run the first spectrum analysis and generate analog and digital debug dashboards.
Use ready-to-run scripts for spectrum, signal generation, calibration, debug, conversions, and time interleaving.
Browse public functions by module with signatures and docstrings.
Analysis Areas#
FFT-based SNDR, SNR, SFDR, THD, ENOB, NSD, windowing, averaging, and polar spectrum analysis.
Vectorized SAR conversion, digital reconstruction, ideal weights, and mismatch-aware behavioral modeling.
Foreground bit-weight calibration from sine-wave decisions, plus lightweight and example-driven workflows.
Error decomposition, phase-plane views, residual statistics, static nonlinearity fitting, and INL from sine tests.
Bit activity, overflow checks, ENOB sweeps, residual scatter plots, and weight radix analysis.
Delta-sigma and oversampling analysis utilities, including NTF visualization.
Outputs#
Spectrum metrics
Analog dashboard
Digital dashboard