Digital Signal Processing

This course prepares students to explain the concepts of discrete-time signals and systems, apply the Fourier transform and digital filter design, and implement digital signal processing in various applications. Study materials: Data Management (DM).

Topics

1. Discrete-time signals and systems
2. Sampling and quantisation
3. Convolution and linear time-invariant systems
4. The discrete Fourier transform and FFT
5. FIR and IIR digital filter design
6. Digital signal processing applications

Each course outcome derives from one programme outcome.

1. CPMK-AIDE-02

   Students are able to build an applied decision basis by optimising computing performance through simultaneous processing, and apply the principles of computing ethics

   CPLP03
2. CPMK-AIDE-01

   Students are able to design and implement advanced artificial intelligence modelling to analyse diverse large-volume data through the management of structured data storage infrastructure.

   CPLP03

CPLP03

Develop advanced artificial intelligence models and manage big data, and build applied decision support with attention to optimal performance and computing ethics.