MATLAB Code Implementation for ADC Testing

The ADC test program serves as a critical tool for assessing both static characteristics (such as offset error, gain error, and integral/differential nonlinearity) and dynamic characteristics (including signal-to-noise ratio, spurious-free dynamic range, and effective number of bits) of analog-to-digital converters. This MATLAB implementation utilizes built-in functions like fft for frequency domain analysis and custom algorithms for histogram-based INL/DNL calculations. The program incorporates automated test sequences that generate standardized input signals through waveform generators, capture ADC output data streams, and perform statistical analysis using MATLAB's signal processing toolbox. Key functions include dynamic parameter computation through spectral analysis using windowing techniques and static parameter extraction via code density tests. By executing systematic test routines, engineers can validate ADC performance against datasheet specifications, identify optimization opportunities in quantization algorithms, and enhance the reliability of data acquisition systems. The program further supports ADC research by providing configurable test benches for evaluating novel calibration techniques and architectural innovations, maintaining competitiveness in advanced converter technology development.