Overview

• Time and frequency response of linear systems, Z-transform; Continuous and discrete signals; Sampling theory; Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT); Digital Signal Processing (DSP) theory and systems; FIR and IIR filters; Deterministic and stochastic signals; Classical spectral estimation; Analogue to Digital Conversion. • Limitations of FIR and IIR filter design methods; Effects of finite word length and sampling on DSP systems; Effect of windowing and averaging on spectral estimation. • Design methods for FIR and IIR filters; Design of spectral estimation systems.

Assessment Strategy

-threshold -Equivalent to 40%. Uses key areas of theory or knowledge to meet the Learning Outcomes of the module. Is able to formulate an appropriate solution to accurately solve tasks and questions. Can identify individual aspects, but lacks an awareness of links between them and the wider contexts. Outputs can be understood, but lack structure and/or coherence.

-good -Equivalent to the range 60%-69%. Is able to analyse a task or problem to decide which aspects of theory and knowledge to apply. Solutions are of a workable quality, demonstrating understanding of underlying principles. Major themes can be linked appropriately but may not be able to extend this to individual aspects. Outputs are readily understood, with an appropriate structure but may lack sophistication.

-excellent -Equivalent to the range 70%+. Assemble critically evaluated, relevant areas of knowledge and theory to construct professional-level solutions to tasks and questions presented. Is able to cross-link themes and aspects to draw considered conclusions. Presents outputs in a cohesive, accurate, and efficient manner.

Learning Outcomes

• Carry out systematic analysis and design of example digital signal processing systems.

• Know and understand the characteristics and mathematical basis of a digital signal processing system and how the characteristics relate to analogue input signals and to equivalent analogue systems.

• Understand the main limitations and sources of error in digital signal processing systems and methods of minimising their effect.