Course  Signals and Systems
This course was developed in 1987 by the MIT Center for Advanced Engineering Studies. It was designed as a distanceeducation course for engineers and scientists in the workplace.Signals and Systems is an introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products.The course presents and integrates the basic concepts for both continuoustime and discretetime signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform and its generalizations, which are explored in detail. Filtering and filter design, modulation, and sampling for both analog and digital systems, as well as exposition and demonstration of the basic concepts of feedback systems for both analog and digital systems, are discussed and illustrated.Lectures 1, 5 and 18 are not available due to copyright restrictions.

Lecture 2  Signals and Systems: Part I

Lecture 3  Signals and Systems: Part II

Lecture 4  Convolution

Lecture 7  ContinuousTime Fourier Series

Lecture 8  ContinuousTime Fourier Transform

Lecture 9  Fourier Transform Properties

Lecture 10  DiscreteTime Fourier Series

Lecture 11  DiscreteTime Fourier Transform

Lecture 12  Filtering

Lecture 13  ContinuousTime Modulation

Lecture 14  Demonstration of Amplitude Modulation

Lecture 15  DiscreteTime Modulation

Lecture 16  Sampling

Lecture 17  Interpolation

Lecture 19  DiscreteTime Sampling

Lecture 20  The Laplace Transform

Lecture 21  ContinuousTime SecondOrder Systems

Lecture 22  The zTransform

Lecture 23  Mapping ContinuousTime Filters to DiscreteTime Filters

Lecture 24  Butterworth Filters

Lecture 25  Feedback

Lecture 26  Feedback Example: The Inverted Pendulum