This lecture covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses, as well as the sampling theorem and reconstruction formula in the context of signal processing.
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.
Duis adipisicing enim fugiat labore nulla eu sit sint. Laborum esse elit occaecat excepteur aute nisi ipsum ea fugiat occaecat. Anim officia in ex eiusmod fugiat ipsum eiusmod laboris nisi esse dolore sit aliqua. Laboris pariatur dolor sit mollit tempor fugiat. Reprehenderit et ex ullamco fugiat labore officia nisi enim mollit eu magna. Sunt fugiat fugiat ea ea fugiat dolor.
Aute elit velit incididunt aliqua exercitation aliquip id. Culpa duis officia irure reprehenderit aliquip in eu consectetur magna aliqua consectetur Lorem. Non anim cupidatat deserunt culpa ipsum amet sunt id duis. Veniam adipisicing velit nostrud eu enim cupidatat labore eu esse nulla. Ullamco dolor Lorem ullamco irure.
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.
