Lecture #4: Sample data systems, continuous to discrete time conversion

Date: Wednesday, 10 Apr 96

Announcements

• Schedule for lab sessions

A. Sampled data systems
    1. Sampled data vs discrete time: intersample behavior
    2. Aliasing: standard example + frequency domain picture
    3. Anti-aliasing filters and sample rate

B. Filters and discrete time systems (skip?)
    1. FIR and IIR filters
    2. Representation of discrete time systems

C. Converting continuous time systems to discrete time
    1. Problem setup (sampling picture)
    2. Approximate derivative techniques: forward, backward, Tustin
    3. Frequency prewarping 
    4. Other techniques: matched pole-zero, zoh, foh (no details)

Lab meeting: go over user interface
Handouts: Homework #2 (due two weeks)