What This Document Is
These are course notes from ELENG 247A, Introduction to Microelectromechanical Systems, offered at the University of California, Berkeley. Specifically, this material focuses on the design and analysis of continuous-time filters – a crucial component in many MEMS-based systems and analog signal processing applications. The notes represent a lecture’s worth of in-depth exploration of filter architectures and performance considerations.
Why This Document Matters
This resource is ideal for students enrolled in an introductory MEMS course, or those studying analog circuit design. It will be particularly valuable when tackling assignments or preparing for exams related to filter implementation and optimization. Engineers seeking a refresher on continuous-time filter techniques will also find this material beneficial. Understanding these concepts is foundational for designing systems that accurately process and interpret signals from the physical world.
Topics Covered
* Continuous-time filter fundamentals and building blocks
* Opamp-based filter designs utilizing MOSFETs and resistors/capacitors
* Gm-C filter architectures and their characteristics
* Techniques for frequency tuning in continuous-time filters, including trimming and automatic adjustment methods
* The impact of non-ideal integrator behavior on filter performance
* Considerations for linearity and distortion in filter circuits
* Comparison of Operational Amplifiers (Opamps) and Operational Transconductance Amplifiers (OTAs) for filter applications
* Integrator implementations using transconductance and opamp-transconductance approaches
What This Document Provides
* Detailed discussion of various integrator designs used in filter construction.
* References to key research papers and publications in the field of analog circuit design.
* Exploration of trade-offs between filter performance characteristics like linearity, frequency response, and tuning range.
* Insights into the practical challenges of implementing high-performance continuous-time filters.
* A foundation for understanding advanced filter topologies and design techniques.
