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Linear Time-Invariant Systems (LTI) Superposition Convolution PowerPoint Presentation
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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

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Linear Time-Invariant Systems (LTI) Superposition Convolution


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    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