Information Signals
ECE 201
1254
1254
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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 both continuous signals and digital signals. Major focus points are the Fourier transform, linear time-invariant systems, frequency domain, and filtering. We use MatLab for laboratory exercises. Three lectures, one laboratory.
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Section B01
- Type: Lab
- Section: B01
- Status: C
- Enrollment: 24
- Capacity: 24
- Class Number: 41541
- Schedule: T 07:30 PM-10:20 PM
Section B02
- Type: Lab
- Section: B02
- Status: O
- Enrollment: 22
- Capacity: 24
- Class Number: 41542
- Schedule: T 07:30 PM-10:20 PM
Section B03
- Type: Lab
- Section: B03
- Status: C
- Enrollment: 24
- Capacity: 24
- Class Number: 41543
- Schedule: W 01:30 PM-04:20 PM
Section B04
- Type: Lab
- Section: B04
- Status: C
- Enrollment: 24
- Capacity: 24
- Class Number: 41544
- Schedule: W 07:30 PM-10:20 PM
Section B05
- Type: Lab
- Section: B05
- Status: O
- Enrollment: 11
- Capacity: 24
- Class Number: 41545
- Schedule: W 07:30 PM-10:20 PM
Section B06
- Type: Lab
- Section: B06
- Status: C
- Enrollment: 24
- Capacity: 24
- Class Number: 41546
- Schedule: F 01:30 PM-04:20 PM
Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 129
- Capacity: 140
- Class Number: 41540
- Schedule: TTh 09:30 AM-10:50 AM