What This Document Is
This document contains a set of homework tasks for an upper-level undergraduate course in Microelectromechanical Systems (MEMS), specifically ELENG 247A at the University of California, Berkeley. It’s designed to reinforce theoretical concepts through practical application and analysis, challenging students to demonstrate their understanding of core principles. The assignment focuses on applying learned techniques to real-world components and systems commonly encountered in the field of MEMS design.
Why This Document Matters
This assignment is crucial for students enrolled in ELENG 247A seeking to solidify their grasp of analog-to-digital conversion and sigma-delta modulation techniques. It’s particularly beneficial for those preparing for more advanced coursework or careers involving signal processing, data acquisition systems, and sensor development. Working through these problems will build confidence in applying theoretical knowledge to analyze and evaluate the performance of practical systems. Successfully completing this assignment demonstrates a strong foundation in key MEMS concepts.
Topics Covered
* Analog-to-Digital Converter (ADC) Performance Metrics
* Thermal Noise Analysis in ADCs
* Quantization Noise and Differential Nonlinearity (DNL)
* Signal-to-Noise Ratio (SNR) and Effective Number of Bits (ENOB)
* Spurious Free Dynamic Range (SFDR) and Harmonic Distortion
* Sigma-Delta Modulation Principles
* Oversampling and Decimation Filtering
* Dynamic Range Calculation
What This Document Provides
* Problem statements requiring analysis of ADC datasheets (specifically the AD7677).
* Opportunities to apply histogram techniques for noise measurement.
* Exercises focused on relating ADC characteristics like DNL and INL to performance metrics.
* A system-level problem involving a sigma-delta modulator with a focus on error analysis.
* A framework for calculating the dynamic range of a sigma-delta converter.
* Guidance (through hints) on modeling quantization errors as noise sources.
