Description

Digital (or discrete-time) signal processing (DSP) is a part of a diverse array of systems and applications. The mathematical theories that underpin the discipline of signal processing are presented and used in applied settings, allowing you to analyze, optimize, and adjust a wide range of data and signals. You will learn topics such as sampling, signal filtering, noise reduction, the discrete Fourier transform (and fast Fourier transform), and spectrum analysis.

Notes

This course is open only to students enrolled in the online MEng in Computer Engineering program. This course cannot be used to satisfy any AB, BE, MEM, MS, PhD, or residential MEng degree requirements.