Lectures
The course comprises 12 lectures distributed over 16 lecture occasions, see the schedule.
Lecture Notes
- Introduction, Introduction and Contents
- Lecture 1, Introduction to Signal Processing
- Lecture 2, Convolution, Impulse Response, Difference Equation, and Correlation
- Lecture 3, The Z Transform
- Lecture 4, The Z Transform, continued
- Lecture 5, The Fourier Transform
- Lecture 6, The Fourier Transform, continued
- Lecture 7, Linear, Time-Invariant Systems
- Lecture 8, Linear, Time-Invariant Systems, continued
- Lecture 9, Sampling
- Lecture 10, The Discrete Fourier Transform
- Lecture 11, The Discrete Fourier Transform, continued
- Lecture 12, Structures
- Illustration, Mathematical Concepts of the Course
Material
Lecturer study week 1-2 and 6-8
- Jan Eric Larsson, jan_eric.larsson@eit.lth.se
Lecturer study week 3-5
- Nedelko Grbic, nedelko.grbic@eit.lth.se