ECE 5207
Transcript Abbreviation:
Real-Time DSP Lab
Course Description:
Real-time signal processing of acoustic signals and video images; finite impulse response filters; adaptive filtering; array processing; fast Fourier transform.
Course Levels:
Undergraduate (1000-5000 level)
Graduate
Designation:
Elective
General Education Course:
(N/A)
Cross-Listings:
(N/A)
Credit Hours (Minimum if “Range”selected):
0.50
Max Credit Hours:
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits:
(N/A)
Total Completions Allowed:
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
7 weeks (autumn or spring)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq or concur: 5200, and enrollment in ECE major or Grad standing in ECE.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 4207 or 609.
Course Goals / Objectives:
Students learn to use a software tool chain for implementing signal processing algorithms on real-time hardware.
Students apply signals and systems concepts for real-time processing of both acoustic and image signals.
Students learn to design, simulate, and deploy a real-time application of adaptive signal processing.
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Introduction: familiarity with tool chain | 0.0 | 0.0 | 3.0 | 0 |
| Image processing: real-time processing with camera | 0.0 | 0.0 | 3.0 | 0 |
| Angle of arrival: array processing with sound card | 0.0 | 0.0 | 3.0 | 0 |
| Sound effects processing | 0.0 | 0.0 | 3.0 | 0 |
| Vocoder | 0.0 | 0.0 | 3.0 | 0 |
| Adaptive filtering for system identification | 0.0 | 0.0 | 3.0 | 0 |
| Adaptive filtering for interference cancellation | 0.0 | 0.0 | 3.0 | 0 |
| Total | 0 | 0 | 21 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lab
Grade Roster Component:
Lab
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Laboratory reports | 75% |
| Laboratory demonstrations | 25% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Real-time Digital Signal Processing: Laboratory Exercises Using Simulink Support for the Raspberry Pi (available via course page) | A. Rich, L. Potter, and M. Riedl |
ABET-CAC Criterion 3 Outcomes:
(N/A)
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Substantial contribution (3-6 hours) | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| 5 | Significant contribution (7+ hours) | an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives |
| 6 | Significant contribution (7+ hours) | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
| 7 | Some contribution (1-2 hours) | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Embedded Literacies Info:
Attachments:
(N/A)
Additional Notes or Comments:
(N/A)
Basic Course Overview:
ECE_5207_basic.pdf
(9.66 KB)