CT-321 Digital Signal Processing: Autumn 2016, DA-IICT

Course Description

Discrete time signal processing: theoretical and hands-on skills

What you will learn:

  • Discrete time signals, Linear and Shift Invariant (LSI) Systems, Convolution Operation, DTFT, Z Transform (ROC, Evaluation of Inverse Z Transform), DFT.

  • Filter design theory and analysis: FIR and IIR filters, Pole-Zero Representations, Frequency Response Evaluation, state-space representations and flow graphs

  • Filter design and implementation: Design of FIR and IIR filters, windowing, frequency sampling, frequency-transformation methods.

  • Finite precision effects

Tentative Course outline: Subject to change

  • Review of discrete-time signals and systems, Discrete-Time Fourier Transform (DTFT), z-Transform (Chapters 2 and 3); digital filter structures (Chapter 6)

  • Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) (Chapters 8 and 9)

  • Sampling and quantization, finite word length effects (Chapters 4 and 6)

  • Frequency response of LTI systems (Chapter 5) and filter design techniques (Chapter 7)