geordi
Uploaded by
17 SLIDES
383 VUES
180LIKES

Linear Time-Invariant Systems (LTI) Superposition Convolution

DESCRIPTION

Linear Time-Invariant Systems (LTI) Superposition Convolution. Linear Time-Invariant Systems (LTI) Superposition Convolution Causal System. Linear Time-Invariant Systems (LTI) Superposition Convolution Causal System. Causal. Linear Time-Invariant Systems (LTI) Superposition

1 / 17

Télécharger la présentation

Linear Time-Invariant Systems (LTI) Superposition Convolution

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Playing audio...

  1. Linear Time-Invariant Systems (LTI) Superposition Convolution

  2. Linear Time-Invariant Systems (LTI) Superposition Convolution Causal System

  3. Linear Time-Invariant Systems (LTI) Superposition Convolution Causal System Causal

  4. Linear Time-Invariant Systems (LTI) Superposition Convolution Causal System Causal

  5. Matched Filter Signal plus noise, recover the signal Can we choose h(t) to make y(t)=s(t)?

  6. Matched Filter Signal plus noise, recover the signal Can we choose h(t) to make y(t)=s(t)? Assume s(t)=0, t<0 and s(t)=0, t>t0. Let h(t)=s(t0-t)

  7. Matched Filter Signal plus noise, recover the signal Can we choose h(t) to make y(t)=s(t)? Assume s(t)=0, t<0 and s(t)=0, t>t0. Let h(t)=s(t0-t)

  8. Matched Filter Signal plus noise, recover the signal h(t)=s(t0-t)

  9. Matched Filter Signal plus noise, recover the signal Assume s(t)=0, t<0 and s(t)=0, t>t0 Let h(t)=s(t0-t)

  10. s(t) s(t0-t)

  11. MATLAB simulation of Convolution http://www.eas.asu.edu/~eee407/labs03/node3.html#SECTION00021000000000000000

  12. Example 1 By inspection, y(t)=0, t<0 y(t)=0, t>2 h(t) 1 1 1 t-1 t

  13. Example 1 By inspection, y(t)=0, t<0 y(t)=0, t>2 h(t) 1 1 1 for t-1 t Maximum @ t=1,

  14. Example 1 By inspection, y(t)=0, t<0 y(t)=0, t>2 h(t) 1 1 1 t-1 t

More Related