What This Document Is
These are lecture notes from ELENG 247A, Introduction to Microelectromechanical Systems, offered at the University of California, Berkeley. The notes focus on a crucial area within MEMS design: switched-capacitor filters. This material delves into the theoretical foundations and practical considerations for implementing these filters in integrated circuits. It builds upon previous lectures concerning continuous-time filters and expands into the unique characteristics of switched-capacitor approaches.
Why This Document Matters
This resource is invaluable for students enrolled in an introductory MEMS course, particularly those specializing in analog circuit design. It’s most beneficial when studying filter design, signal processing, and the trade-offs inherent in choosing different filter architectures. Professionals seeking a refresher on switched-capacitor techniques or exploring their application in MEMS devices will also find these notes helpful. Access to the full notes will provide a deeper understanding of the concepts presented in the lecture.
Topics Covered
* Fundamental principles of switched-capacitor filter design
* Tradeoffs associated with selecting appropriate sampling rates
* The impact of sample-and-hold circuits on filter performance
* Detailed examination of switched-capacitor integrators (DDI and LDI types)
* Analysis of parasitic capacitance effects in switched-capacitor networks
* Different integrator topologies, including bottom-plate configurations
* The critical issue of aliasing and techniques for its prevention
* Anti-aliasing filter design considerations and oversampling techniques
* The effect of the sampling process on frequency response
What This Document Provides
* A comprehensive overview of switched-capacitor filter concepts.
* Detailed explanations of key filter characteristics and performance limitations.
* Illustrative diagrams and visual representations of circuit behavior.
* Discussion of practical considerations for implementing these filters in real-world applications.
* Insights into the relationship between sampling rate, filter order, and overall system performance.
* A foundation for understanding more advanced filter designs and analysis techniques.
