U.S. Particle Accelerator School

Digital Signal Processing Fundamentals with Applications to Accelerators course

Sponsoring University:

University of Chicago

Course:

Digital Signal Processing Fundamentals with Applications to Accelerators

Instructors:

John Carwardine, Frank Lenkszus and Robert Merl, Argonne National Lab


Students will be introduced to the theory and practice of sampled-data systems. Lecture material will include: representation of discrete-time systems; basic sampling theory; FIR and IIR filter design; the discrete Fourier transform; spectrum analysis; decimation and interpolation; word-length effects; implementing DSP systems. Design case studies will be taken from systems in use at the Advanced Photon Source. Lecture material will be complemented by hands-on computer laboratory sessions using Matlab.   Prerequisites: Prior exposure to Laplace transforms and basic analog filter design, basic PC and/or Unix computer skills. Prior exposure to Matlab will be an advantage but is not required.