University of New Mexico
RF and Digital Signal Processing
Dmitry Teytelman, Dimtel, Inc. and Dan Van Winkle, SLAC
Purpose and Audience
The purpose of this course is to introduce the students to the fundamentals of signal processing in application to particle accelerators. The course is intended for accelerator physicists, engineers, operators, and graduate students interested in understanding RF fundamentals and signal processing techniques commonly used for particle accelerator applications.
On completion of this course the students are expected to understand characteristics and limitations of the RF and DSP building blocks. Students will also gain a basic understanding of signal processing chain topologies, trade-offs between analog and digital sections, processing frequency choices. The class will emphasize the practical component of designing and constructing signal processing systems.
The class will offer a mix of lectures and practical laboratory sessions. Lecture material will be reinforced with daily homework assignments. There will be a final exam on the last day of the class.
The class will start from RF engineering fundamentals, continue with detailed descriptions of the RF signal processing building blocks, their functionality, characteristics and limitations. Digital signal processing basics will be then presented. Using this basic understanding of RF and digital signal processing the course will continue with the most common RF
and digital signal processing techniques, including modulation and demodulation, analog and digital filtering, signal detection. Common signal processing topologies will be introduced and illustrated with practical accelerator applications.
Students will be evaluated as follows: final exam (30%), homework assignments (30%), lab sessions (40%).