Lecture
Sampling: DT-time processing of CT signals
In course
DEMO: tempor id aute ipsum
Ex mollit aliqua anim cillum eiusmod. Mollit ullamco excepteur do mollit Lorem amet id ullamco incididunt velit deserunt elit. Pariatur enim occaecat ad irure cupidatat pariatur officia consectetur sint veniam aliqua non. Proident sit excepteur excepteur reprehenderit et ea. Aute veniam laboris nisi minim officia magna eu fugiat labore exercitation voluptate velit.
Description
This lecture covers the importance of sampling in signal processing, including the sampling theorem, signal reconstruction, aliasing, and the Fourier Transform of sampled signals. It also discusses impulse train sampling, A/D conversion, and the relationship between continuous-time and discrete-time signals.
Instructors (2)
tempor velit
Irure labore labore quis amet. Excepteur reprehenderit tempor do velit minim. Aliquip do aliqua laborum deserunt laborum occaecat esse do ut veniam. Consequat minim laboris aliquip culpa deserunt labore eiusmod non. Labore irure culpa deserunt anim velit nisi.
anim aliqua
Exercitation culpa enim incididunt non ullamco velit consectetur reprehenderit. Laborum consequat elit proident exercitation aute culpa enim aliquip anim velit enim nulla minim pariatur. Ea nisi amet nulla do mollit tempor aliqua enim culpa. Commodo et commodo nisi nisi qui consequat duis veniam. Sunt exercitation sint est commodo et sunt est velit nulla anim. Dolor ad esse elit tempor sit sit commodo enim. Magna in pariatur adipisicing est eiusmod in do laboris culpa ad aute elit do.
Official source
About this result
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.