Applied Digital Signal Processing

Digital signal processing is ubiquitous, finding applications ranging from automotive to telecommunications as examples. Processor architectures have been optimized to perform key DSP operations to improve performance beyond that available from general-purpose computer architectures. An understanding of the discrete-time theory underlying implementation of filtering and signal analysis positions the student to develop and maintain DSP-based systems.

Term 202440 #45079 EET03350
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Instructor
Meeting Times
Location: ENGR 338 (M)
@ 15:30 - 16:45
From 2024-09-03 to 2024-12-19
Location: ENGR 338 (M)
@ 17:00 - 18:15
From 2024-09-03 to 2024-12-19
Enrollment

13

seats available

3

currently enrolled

16

maximum enrollment

Section Tally

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