Data Conversion Systems and Circuits

Catalog description

Credits 4. 3 Lecture Hours. 3 Lab Hours. 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. Prerequisites: Grade of C or better in ECEN 314 and ECEN 325 ; junior or senior classification.