ADC Testing and Performance Analysis

Before conducting ADC testing, we previously performed ADC performance analysis. The testing methodology involved capturing a single-frequency signal using an ADC and subsequently analyzing it using MATLAB. During the MATLAB analysis process, we implemented the following code with technical explanations: The MATLAB code begins by converting the digitally sampled signal back to an analog representation using a digital-to-analog conversion function. This step is crucial for comparing the captured signal with the original analog reference. Next, the signal-to-noise ratio (SNR) calculation is performed by first computing the power of the analog signal using the Euclidean norm (L2 norm) squared. The noise power is determined by calculating the difference between the actual analog signal and the desired reference signal, then applying the same norm operation. The SNR value is obtained using the logarithmic decibel scale with the standard 10*log10(power ratio) formula. Finally, the effective number of bits (ENOB) is derived from the SNR measurement using the industry-standard formula (SNR - 1.76) / 6.02, which provides an accurate representation of the ADC's resolution performance accounting for real-world noise and distortion. Through this code implementation, we obtained key ADC performance metrics including signal-to-noise ratio and effective number of bits. These results enable comprehensive evaluation of ADC performance characteristics and provide detailed data support for subsequent engineering work and system optimization.