Course Information

Overview

Concepts and mathematical tools in signal processing and linear systems analysis, illustrated with examples from signal processing, communications, and control. Mathematical representation of signals and systems. Linearity and time-invariance. System impulse and step response. Frequency domain representations: Fourier series and Fourier transforms. Filtering and signal distortion. Time/frequency sampling and interpolation. Continuous-discrete time signal conversion and quantization. Discrete time signal processing. Prerequisite: Calculus.

Class Time and Location

• MWF 9:30–10:20
  300-300
  Language Corner of the Main Quad

• Review Session
  Monday Evening
  To be arranged
  

Grading

• Weekly homework and labs (20%)

• 2 Midterms (20% each)

• Final (40%)

Assignments and Labs

Assignments will be handed out on Wednesdays, and due a week later. The assignments include both problem sets and labs. You are welcome to work in groups, but we ask you to write up your own solutions. The Midterm and Final questions will be very much like the assignments, and are excellent preparation. Make sure you understand the problems and the solutions.

The labs will use matlab, which you are encouraged to have on your own computer. This is a tremendously useful program for any engineer. You don't need to know matlab in advance, the labs will introduce the key concepts as the quarter progresses. The labs will emphasize processing real data sets, to give you a sense of what signal processing is actually like in practice.

Textbook