
CEN352 Digital Signal Processing
CEN352 Digital Signal Processing
Assignment05 has been uploaded.
Course Details
Course Name: | Digital Signal Processing |
Course Number: | CEN352 |
Lectures given by: | Dr. Anwar M. Mirza (ammirza@ksu.edu.sa) |
Lectures Hours: | Every Saturday, Monday and Wednesday, Section 1: at 1:00pm, Lecture Hall B093, Building 31 Section 2: at 2:00om, Lecture Hall B093, Building 31 Tutorials on Sunday at 5:00pm and Wednesday 6:00pm, Lecture Hall B091. |
Course Outline
- Identify some reasons for studying digital signal processing.
- Contrast the meanings of analog and digital signals.
- Describe the sampling theorem and the spectra of a periodic signal.
- Determine the spectrum of a signal using the DFT and the FFT, and explain the difference between the DFT and the FFT.
- Describe a system using differential equation and apply z-transform.
- Design digital filters that have specified frequency characteristics.
- Analyze frequency selective filters in the z-transform domain.
- Apply windowing on a signal and explain how it improves transform properties.
- Be able to design, analyze, and implement digital filters in Matlab.
- Explain how digital techniques cancel noise in audio processing.
- Explain how low-pass filtering tends to smooth out images.
Marks Distribution
Homework / Assignments 15%
Quizes 05%
Mid-Term I 20%
Mid-Term II 20%
Final Exam 40%
Recommended Text
- L. Tan, Digital Signal Processing: Fundamentals and Applications, Elsevier, 2008.
References
- Lecture Notes
- John G. Proakisand DimitrisG. Manolakis, Digital Signal Processing: Principles, algorithms and applications, 4thEd., 2007, Prentice Hall.
- OpenheimA., WillskyA. and S. Nawab, Signals and Systems, 2ndEd., 1997, Prentice Hall.
Course Learning Outcomes
This course requires the student to demonstrate the following:
- Identify some reasons for studying digital signal processing.
- Contrast the meanings of analog and digital signals.
- Describe the sampling theorem and the spectra of a periodic signal.
- Determine the spectrum of a signal using the DFT and the FFT, and explain the difference between the DFT and the FFT.
- Perform discrete convolution.
- Describe a system using differential equation and apply z-transform.
- Design digital filters that have specified frequency characteristics.
- Analyze frequency selective filters in the z-transform domain.
- Apply windowing on a signal and explain how it improves transform properties.
- Be able to design, analyze, and implement digital filters in Matlab.
- Explain how digital techniques cancel noise in audio processing.
- Explain how low-pass filtering tends to smooth out images.
Lecture Notes / Assignments / Quizes / Previous Tests
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Course Materials