The course covers Linear-time Invariant Systems, Convolution, Dirac delta functions, Fourier Analysis of Continuous and Discrete-time Systems, Sampling Theorem, Fast-Fourier Transform, Laplace Transform, Z-Transform, and Fourier uncertainty principle. There will be emphasis on the interplay between mathematical ideas in MATH courses and engineering applications. Ideas such as inner product spaces, Contour integration, Cauchy-Schwartz inequality, Spectral decomposition, etc. will be employed for obtaining various results.

Course
MIEG2051 – Fourier Analysis with Engineering Applications
MIEG Required Undergraduate
Co-requisite(s):
Unit(s):
3
Pre-requisite(s):
MATH1010 or MATH1510
Exclusion:
ENGG2030, ESTR2206, ESTR2302, ESTR2360 or IERG2051
Term Offered:
T1
Teacher:
Remarks: