MATLAB Code for Comprehensive High-Speed ADC Dynamic Performance Testing

This MATLAB code provides a comprehensive solution for evaluating the dynamic performance characteristics of general high-speed Analog-to-Digital Converters (ADCs). The implementation includes automated calculation of key performance parameters including Signal-to-Noise Ratio (SNR), Signal-to-Noise and Distortion Ratio (SINAD), Effective Number of Bits (ENOB), Total Harmonic Distortion (THD), and Spurious-Free Dynamic Range (SFDR). The code employs Fast Fourier Transform (FFT) algorithms to convert time-domain ADC samples into frequency-domain representations, enabling precise spectral analysis. It automatically identifies fundamental signal components, harmonic distortions, and noise floor levels through peak detection algorithms. The package generates detailed frequency-domain amplitude plots that visually demonstrate spectral characteristics, allowing engineers to identify distortion patterns and noise issues. Key functions include waveform windowing techniques (such as Hanning or Blackman-Harris windows) to minimize spectral leakage, harmonic identification algorithms for accurate THD calculation, and automated noise floor estimation for reliable SNR/SINAD measurements. The code supports customizable input parameters including sampling frequency, signal frequency, and analysis bandwidth. This automated testing approach significantly reduces manual testing efforts while ensuring consistent, repeatable measurement results. Engineers can quickly validate ADC performance against specifications, optimize design parameters, and troubleshoot performance issues through systematic quantitative analysis and visual inspection of spectral data.