The course has an overview of discrete time signals and systems. Sampling/Reconstruction
principles both in time and frequency domains. The Z-Transform and its
properties. Structure of discrete time systems; tapped delay or lattice etc.
Digital filter designs. Realization of digital filters (FIR and IIR). The
discrete Fourier and inverse Fourier transforms. The fast Fourier transform
(FFT) and its analysis. Image acquisition, sampling and quantization. Image
enhancement: Spatial and frequency domain techniques. Image restoration:
Inverse, Wiener and mean filtering. Image compression: Compression models.
- Teacher: Kamil Yurtkan