Information Signals
ECE 201
1224
1224
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Signals that carry information, e.g. sound, images, sensors, radar, communication, robotic control, play a central role in technology and engineering. This course teaches mathematical tools to analyze, manipulate, and preserve information signals. We discuss how continuous signals can be perfectly represented through sampling, leading to digital signals. Major focus points are the Fourier transform---how, when, and why to use it, linear time-invariant systems, modulation, and stability. We use MatLab for design projects. Three lectures, one laboratory.
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Section B01
- Type: Lab
- Section: B01
- Status: O
- Enrollment: 7
- Capacity: 30
- Class Number: 42602
- Schedule: M 01:30 PM-04:20 PM - No Room Required NO ROOM RQ
Section B02
- Type: Lab
- Section: B02
- Status: O
- Enrollment: 9
- Capacity: 30
- Class Number: 42603
- Schedule: W 01:30 PM-04:20 PM - No Room Required NO ROOM RQ
Section B03
- Type: Lab
- Section: B03
- Status: O
- Enrollment: 19
- Capacity: 30
- Class Number: 42604
- Schedule: W 07:30 PM-10:20 PM - No Room Required NO ROOM RQ
Section B04
- Type: Lab
- Section: B04
- Status: O
- Enrollment: 18
- Capacity: 30
- Class Number: 42605
- Schedule: Th 07:30 PM-10:20 PM - No Room Required NO ROOM RQ
Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 53
- Capacity: 65
- Class Number: 41375
- Schedule: TTh 09:30 AM-10:50 AM - Friend Center 006