Overview

Indicative content includes:

• 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.

Learning Outcomes

• Analyse and design of digital signal processing systems.

• Characterise a given Digital Signal Processing system, relating analog input to its digital output and the equivalent analog system.

• Compute the characteristics of digital signal processing systems and transducors using appropriate theory.

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