EE433 REAL-TIME APPLICATIONS OF DIGITAL SIGNAL PROCESSING
| Course Code: | 5670433 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (1.00 - 4.00) |
| ECTS Credit: | 6.0 |
| Department: | Electrical and Electronics Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. TEMEL ENGİN TUNCER |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
Course Objective 1: Students will understand fundamentals of real-time Digital Signal Processing.
Student Learning Outcomes:
Understand, evaluate and solve the problems associated with real-time processing on dedicated hardware platforms. Perform experiments using hardware and software tools. Design software programs for real-time critical applications.
Course Objective 2: Students will develop a knowledge of the applications of Digital Signal Processing on Embedded Platforms.
Student Learning Outcomes:
Implement Signal Processing systems on real-time hardware Design signal processing systems on CPU and FPGA platforms. Evaluate performance of signal processing systems on real-time hardware
Course Objective 3: Students will examine the characteristics of practical signals and systems.
Student Learning Outcomes:
3.1 Implement and test the concepts of A/D, D/A, quantization, noise, filtering, FFT, IFFT, LMS filtering, Optimum filtering, Image and video processing.
3.2 Apply digital signal processing theory to practical problems in different applications.
3.3 Gain an understanding of the resource utilization of embedded systems and problems faced in practical system implementations
Course Content
Introduction to real-time processing hardware and software, Signal types, Fast Fourier Transform, Correlation, Detection of signals in noise, Decimation, Interpolation, Filtering, Phase locked loop, System identification and adaptive filtering, Least Mean Square algorithm, Optimum filtering, Finite-impulse response Wiener filter, Two-dimensional signals, Transforms, and Filtering.
Course Learning Outcomes
Course Objective 1: Students will understand fundamentals of real-time Digital Signal Processing.
Student Learning Outcomes:
Understand, evaluate and solve the problems associated with real-time processing on dedicated hardware platforms. Perform experiments using hardware and software tools. Design software programs for real-time critical applications.
Course Objective 2: Students will develop a knowledge of the applications of Digital Signal Processing on Embedded Platforms.
Student Learning Outcomes:
Implement Signal Processing systems on real-time hardware Design signal processing systems on CPU and FPGA platforms Evaluate performance of signal processing systems on real-time hardware
Course Objective 3: Students will examine the characteristics of practical signals and systems.
Student Learning Outcomes:
3.1 Implement and test the concepts of A/D, D/A, quantization, noise, filtering, FFT, IFFT, LMS filtering, Optimum filtering.
3.2 Apply digital signal processing theory to practical problems in different applications.
3.3 Gain an understanding of the resource utilization of embedded systems and problems faced in practical system implementations
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts. | ✔ | |||
| 5 | 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 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||