This course introduces the basic tools of Fourier analysis of signals (both in continuous and discrete time), the analysis of linear systems and the representation of signals from their samples.
INTRODUCTION:
- Signals: properties and classification.
- Systems: properties and classification.
- Linear and time-invariant systems (LTI).
PART 1: Fourier series (FS) representation of periodic signals
- Response of LTI systems to complex exponentials.
- FS representation of continuous-time signals. Properties.
- FS representation of discrete-time signals. Properties.
PART 2: Fourier transform (FT)
- FT of signals in continuous time. Properties and examples.
- Linear systems characterised by ordinary differential equations.
- FT of discrete time signals. Properties and examples.
- Linear systems characterised by difference equations.
PART 3: Representation of signals from their samples
- The sampling theorem.
- Interpolation and decimation.
- Discrete-time processing of continuous-time signals.
- The discrete Fourier transform.
PART 4: Z Transform (ZT)
- The ZT.
- Region of convergence.
- Properties.
- Analysis of LTI systems.