Digital Signal Processing

At the end of this course, the students will be able to: 1. understand analytical tools such as fourier transforms, discrete fourier transforms, fast Fourier transforms and Z-transforms required for digital signal processing; 2. get familiarized with various structures of IIR and FIR systems; 3. design and realise various digital filters for digital signal processing; and 4. understand the applications of DSP in speech processing and spectrum analysis.

Discrete signals and Z-transform, digital fourier transform, fast fourier transform; the approximation problem in network theory; synthesis of low-pass filters; spectral transforms and their application in synthesis of high-pass and band-pass filters; digital filtering, digital transfer function aliasing, one-dimensional recursive and non-recursive filters; computer techniques in filter synthesis, realisation of filters in hardware and software; and basic image processing concepts.