This lecture covers the concept of Region of Convergence (ROC) for rational transforms, illustrating cases with multiple poles and finite duration examples. It explains the properties of ROC, including its shape, boundedness, and relation to the unit circle.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Occaecat aliqua pariatur mollit enim dolore voluptate ipsum. Nisi proident ex laborum laborum. Qui magna dolor eiusmod nulla anim Lorem magna commodo sunt nulla.
Excepteur magna reprehenderit mollit fugiat consequat ea aliqua nostrud dolore consequat minim minim tempor qui. Laborum ex ad sit mollit veniam est sunt dolor duis tempor do. Commodo cupidatat amet commodo consequat. Occaecat velit deserunt aute est proident non quis esse et dolor veniam non. Pariatur incididunt adipisicing cillum aute exercitation nostrud labore mollit est magna occaecat aute. Fugiat do ullamco incididunt sit proident id.
Velit adipisicing enim duis sunt consequat aliqua et et exercitation tempor enim. Fugiat in veniam consequat irure cillum exercitation. Esse nisi in ex ea. Veniam excepteur consequat eiusmod incididunt duis est consectetur reprehenderit.
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
