APPLIED DSP

AIM

This is a first year graduate course on the fundamentals of discrete-time signal processing (DSP). This course provides the students with a solid background in theory and design of DSP systems. Different transformation techniques, conversion from analog to digital and vice versa, digital filter structures, and their application to real systems are covered. The theory is realized via Matlab simulations.

CONTENT

This course contains; Introduction to Discrete-Time Signals and Systems,Discrete LTI Systems,Z-Transform,Sampling of Continuous-Time Signals,Multi-rate signal Processing and Introduction to Discrete Random Process,Transform Analysis of LTI Systems – Part A,Transform Analysis of LTI Systems – Part B,Midterm,Structure for Discrete-Time Systems : Block Diagrams and IIR Systems,Structure for Discrete-Time Systems : FIR Systems and Quantization Effect,Digital Filter Design Techniques – Part A,Digital Filter Design Techniques – Part B,The Discrete Fourier Transform – Part A,The Discrete Fourier Transform – Part B,Discrete Stochastic Processes and Systems.

1. 1

   1. Applies the basics of LTI systems and transformation approaches in analyzing LTI systems.

   Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task, Quiz

2. 2

   2. Samples lowpass and bandpass signals

   Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task, Quiz

3. 3

   3. Uses IIR and FIR filters in LTI systems.

   Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task, Quiz

4. 4

   4. Uses DFT and FFT techniques effectively.

   Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task, Quiz

5. 5

   5 Analyzes discrete stochastic systems.

   Taught by: Simulation Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task, Quiz

WEEKLY PLAN

1. WEEK 1

   Introduction to Discrete-Time Signals and Systems

   Preparation: Notes and Oppenheim Chapters 1 & 2

2. WEEK 2

   Discrete LTI Systems

   Preparation: Notes and Oppenheim Chapter 2

3. WEEK 3

   Z-Transform

   Preparation: Notes and Oppenheim Chapter 3

4. WEEK 4

   Sampling of Continuous-Time Signals

   Preparation: Notes and Oppenheim Chap. 4

5. WEEK 5

   Multi-rate signal Processing and Introduction to Discrete Random Process

   Preparation: Notes and Oppenheim Chap. 4

6. WEEK 6

   Transform Analysis of LTI Systems – Part A

   Preparation: Notes and Oppenheim Chap. 5

7. WEEK 7

   Transform Analysis of LTI Systems – Part B

   Preparation: Notes and Oppenheim Chap. 5

8. WEEK 8

   Midterm

   Preparation: Notes till Week 7 and textbook chapters 1-5

9. WEEK 9

   Structure for Discrete-Time Systems : Block Diagrams and IIR Systems

   Preparation: Notes and Oppenheim Chap. 6

10. WEEK 10

    Structure for Discrete-Time Systems : FIR Systems and Quantization Effect

    Preparation: Notes and Oppenheim Chap. 6

11. WEEK 11

    Digital Filter Design Techniques – Part A

    Preparation: Notes and Oppenheim Chap. 7

12. WEEK 12

    Digital Filter Design Techniques – Part B

    Preparation: Notes and Oppenheim Chap. 7

13. WEEK 13

    The Discrete Fourier Transform – Part A

    Preparation: Notes and Oppenheim Chap. 8

14. WEEK 14

    The Discrete Fourier Transform – Part B

    Preparation: Notes and Oppenheim Chap. 8

15. WEEK 15

    Discrete Stochastic Processes and Systems

    Preparation: Notes and Vetterli Chap. 3

ASSESSMENT

• Rate of Midterm Exam to Success50%
• Rate of Final Exam to Success50%

WORKLOAD

READING

• Discrete-Time Signal Processing by Alan V. Oppenheim and Ronald W. Schafer Prentice Hall (Pearson) ISBN 978013 1988422
• Foundations of Signal Processing, M. Vetterli, M. Kovacevic and V. Goyal , 2013, Cambridge University Press

TEACHING STAFF

• Prof.Dr. İlteriş DEMİRKIRANCOORDINATOR
• Prof.Dr. İlteriş DEMİRKIRAN