Course name: ECE307 – Digital Signal Processing
Department: Electronics and Communications Engineering Credit (ECTS)
Methods of Education Semester 5 Language Compulsory/Elective Prerequisites Course Contents
Course Objectives Learning Outcomes and Competences Textbook and /or References
Lecture
Recitation/ (Etud) 28
Lab
Project/Field Study 50
Total 6
To understand the basic digital signal processing concepts and techniques and to provide to design and realize intended filters. After taking this course, students will be able to understand: Discrete-time signals, Frequency domain techniques filters, Filter design and filter structures, Applications. rd 1. “Understanding Digital Signal Processing,” by R.G. Lyons, Prentice Hall, 3 Edition, 2011. 2. ″Discrete Time Signal Processing,″ by A.V. Oppenheim and R.W. Schafer, rd Prentice Hall, 3 Edition, 2009. 3. “Digital Signal Processing”, by J.G. Proakis, D.K. Manolakis, Prentice Hall, 4th Edition, 2006. 4. “Digital Signal Processing,” by S. Mitra, McGraw-Hill, 2010. nd 5. “Schaums Outline of Digital Signal Processing,” by Monson Hayes, 2 Edition (Schaum's Outline Series), McGraw-Hill, 2011 6. “Wavelets and Subband Coding” by M. Vetterli and J. Kovacevic. (free at berkeley.edu) 7. “Fourier and Wavelet Signal Processing” by M. Vetterli, J. Kovacevic and V. Goyal. (free at berkeley.edu)
Midterm Exams Quizzes Homeworks Projects Term Paper Laboratory work Other Final Exam Assoc. Prof. Dr. Hüseyin Canbolat Subject 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Other
42 50 15 185 English Elective None Discrete-time signals and systems, Discrete-Time Fourier Transform (DTFT), zTransform, digital filter structures, Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT), Sampling and quantization, finite word length effects, Frequency response of LTI systems, and filter design techniques
Assessment Criteria
Instructors Week
Homework
Discrete-time signals Discrete time Fourier Transform (DTFT) z-Transform, digital filter structures, IIR and FIR Filters Discrete Fourier Transform (DFT) Fast Fourier Transform (FFT) Midterm Sampling and quantization, finite word length effects, Frequency response of LTI systems, Filter design techniques. Transform techniques, Wavelets. Project, Homework Final exam
If any, mark as (X) X X X X
X
Percentage (%) 30 10 10 20
30