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Electrical and Computer Engineering

18-290 – Signals and Systems

12 units

This course develops the mathematical foundation and computational tools for processing continuous-time and discrete-time signals in both time and frequency domain. Key concepts and tools introduced and discussed in this class include linear time-invariant systems, impulse response, frequency response, convolution, filtering, sampling, and Fourier transform. Efficient algorithms like the fast Fourier transform (FFT) will be covered. The course provides background to a wide range of applications including speech, image, and multimedia processing, bio and medical imaging, sensor networks, communication systems, and control systems.

This course serves as entry and prerequisite for any higher level course in the fields of signal processing, communications, and control.

Prerequisite(s): 18-100

Corequisite(s): 18-202

Prerequisite for: 18-699A

Last updated on April 7, 2009

ECE classifications

Undergraduate areas

ECE Core

Undergraduate designations

Core

This course is currently being offered.

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Upcoming offerings

S10

Please note that the course history information is incomplete and/or may reflect different courses offered under the same course number.



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