MIEG 2051
Fourier Analysis with Engineering Applications
综合推荐指数
5.0/ 5
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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.
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.
选课人数参考
根据 CUHK Teaching Timetable 的名额减剩余名额推算
- 全班Professor Chandrasekhar MADHAVAN NAIR0 / 150%