EE2S11 Signals and systems
Part 1: continuous-time signals
- Linear time-invariant systems (LTI), eigenfunctions and eigenvalues of an LTI system, Dirac delta function, Heaviside unit step function. Convolution.
- Laplace transform, region of convergence. Properties. Convoluton and product, inverse transform.
- Periodic signals. Fourier series, line spectrum.
- Fourier transform (continuous time).
- Transformations of a pulse, sinc function, sign function, step function. Duality of the Fourier transform. Shift and modulation, Parseval's theorem.
Part 2: discrete-time signals
- Ideal sampling. impulse train, periodic spectrum. Sampling theorem (Nyquist, Shannon). Ideal reconstruction
- Discrete signals and systems, convolution.
- Realizations (direct form for FIR, IIR)
- Fourier transform (discrete time)
- Filter design (analog and digital), frequency transformations.
prof.dr.ir. Alle-Jan van der Veen
Array signal processing; Signal processing for communications
dr.ir. Richard Heusdens
Audio and acoustic signal processing, distributed signal processing, information theory (source coding), speech enhancement
dr.ir. Rob Remis
Electromagnetic and acoustic wavefield modeling, imaging, and inversion
Last modified: 2017-09-26