What This Document Is
This document presents lecture notes from an Introduction to Microelectromechanical Systems (MEMS) course (ELENG 247A) at the University of California, Berkeley. Specifically, it focuses on the design and analysis of filters – a crucial component in many MEMS systems for signal conditioning and data processing. It delves into both continuous-time filter architectures and techniques for dynamically adjusting their performance. This material represents a focused exploration of filter circuits within the broader field of MEMS.
Why This Document Matters
Students enrolled in an introductory MEMS course, or those studying analog circuit design, will find this resource particularly valuable. It’s ideal for reinforcing concepts presented in lectures, preparing for assignments, or gaining a deeper understanding of filter implementation in integrated circuits. Engineers working on sensor interfaces or signal processing systems will also benefit from the principles discussed. Access to the full content will provide a solid foundation for more advanced work in MEMS design and analysis.
Topics Covered
* Continuous-time filter fundamentals
* Frequency tuning methods for filters
* Master-slave frequency tuning techniques
* Reference integrator design and operation
* Highpass and bandpass filter configurations
* Gm-C filter implementations
* Considerations for loop stability in tuning circuits
* Impact of DC offsets on filter performance
* Lowpass to bandpass filter transformations
What This Document Provides
* A detailed exploration of automatic on-chip filter tuning strategies.
* An examination of replica integrator approaches for accurate frequency locking.
* Discussion of the trade-offs involved in filter design, such as stability versus acquisition speed.
* Insights into potential error sources, like Gm-cell DC offsets, and their mitigation.
* A focused look at the mathematical relationships governing filter behavior and tuning mechanisms.
* References to further reading for deeper investigation into continuous-time filter systems.
