University of Chicago
Digital Signal Processing Fundamentals with Applications to Accelerators
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.