EECS 451 - Digital Signal Processing and Analysis
Section: 001
Term: FA 2007
Subject: Electrical Engineering and Computer Science (EECS)
Department: CoE Electrical Engineering and Computer Science
Credits:
4 (Non-LSA credit).
Requirements & Distribution:
BS
Enforced Prerequisites:
[EECS 216 or 306 (C>)] or Grad
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Introduction to digital signal processing of continuous and discrete signals. The family of Fourier transforms including the Discrete Fourier Transform (DFT). Development of the Fast Fourier Transform (FFT). Signal sampling and reconstruction. Design and analysis of digital filters. Correlation and spectral estimation.

EECS 451 - Digital Signal Processing and Analysis
Schedule Listing
001 (LEC)
 
10681
Open
1
 
-
MWF 12:30PM - 1:30PM
011 (DIS)
P
10682
Open
1
 
-
W 1:30PM - 2:30PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

No Syllabi are on file for EECS 451. Click the button below to search for a different syllabus (UM login required)

Search for Syllabus
The CourseProfile (ART) system, supported by the U-M Provost’s 3rd Century Initiative through a grant to the Digital Innovation Greenhouse, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (ART)