Data Conversion Systems and Circuits

Sampling theory and sampling circuit implementations, quantization architectures and interpolation techniques for data conversion interfaces such as analog-to-digital and digital-to-analog converters, noise modeling of sampled and quantized data, performance metrics, modeling of circuits errors (capacitor mismatch, gain mismatches, etc.) basic linear calibration techniques and compensation techniques.

Credits

4 credits

Course Code

ECEN 432