ECE 2200 Signals and Information

ECE 2200 Contents

Syllabus and Course Details
Homework and Exams
Projects and Labs

Note: Lecture Notes and Handouts are not available for this course.

Course Description

This course introduces students to signals and the techniques used for processing signals. The course covers both discrete-time and continuous time signals.

Topics covered in ECE 2200 include frequency-based representations: Fourier analysis and synthesis; discrete time linear systems: input/output relationships, filtering, spectral response; analog-to-digital and digital-to-analog conversion; continuous time signals and linear time invariant systems: frequency response, continuous-time Fourier transform, discrete time Fourier transform, discrete Fourier transform, fast Fourier transform, z-transform.

Instructor(s)

Peter C. Doerschuk
305 Phillips Hall, Ithaca, NY 14853
607-255-4179
Email: pd83 at cornell.edu

Lang Tong
384 Rhodes Hall, Ithaca, NY 14853
607-255-3900
Email: lt35 at cornell.edu

Course Level

Undergraduate (sophomore level)

As Offered In

Spring 2016

Required Text(s)

James H. McClellan, Ronald W. Schafer, Mark A. Yoder, “Digital Signal Processing First”, Second Edition, Pearson Prentice Hall (2016).

Course Structure

This course consists of:

  1. Two weekly lectures
  2. One lab every other week.
  3. Three prelim exams and one final exam.

 

A cartoon of many repetitions of a signal such as a communication signal illustrating the effect of random noise.
An illustration of superposition of signals: the green, blue, and red signals are all sinusoids with various frequencies, amplitudes, and phase angles and the bottom signal is the sum which is clearly not sinusoidal.
Two simple discrete-time signals: a sinusoidal signal where the period is an integer multiple of the sampling interval and a decaying exponential signal.
A cartoon of a communication satellite with radio waves propagating down to the earth.