Чему вы научитесь
- Discrete Fourier transform
- Zero padding
- Aliasing
О курсе
Solve interesting signal processing problems using your knowledge of Harmonic Analysis.
Implement your solutions in Python code. The winners will be selected based on performance of the submitted code on a private test set.
Для кого этот курс
Anyone who is interested in applications of discrete Fourier transform and has sufficient background in Real Analysis and Linear Algebra (2 years of undergraduate studies should be sufficient).
Начальные требования
Knowledge of basic undergraduate Linear Algebra and Real Analysis, including Fourier series and Fourier transform. Acquaintance with NumPy, SciPy and matplotlib libraries. Creativity and some free time.
Наши преподаватели
Как проходит обучение
We recommend to download Jupyter notebooks with problems and sample datasets. It is possible to submit the solutions directly from the Jupyter notebooks.
Программа курса
