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(Simplify answer until all summation signs disappear.)
 
(Simplify answer until all summation signs disappear.)
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h[n] = u[-n]
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x[n] = <math>2^{n}</math>u[-n]
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y[n] = x[n] * h[n]
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= <math> \sum^{\infty}_{k = -\infty} 2^{k}u[-k]u[-n--k]</math>
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since -k > 0 and k < 0 the summation parameters change
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= <math> \sum^{0}_{k = -\infty} 2^{k}u[-n+k]</math>
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other step function changes parameters again
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n = k
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= <math> \sum^{0}_{k = n} 2^{k} </math>
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= <math> \sum^{-n}_{0} \frac{1}{2}^{k} </math> since n <= 0; </math>
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This is then a property that can be exchanged to get rid of the summation signs using a general solution.
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{ = <math> \frac{1-\frac{1}{2}^{-n+1}}{1-\frac{1}{2}} </math> For all k < n and n <= 0
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{ = 0 , n > 0
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The transform of this is then=
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<math> (2-2^{n})u[-n]</math>

Latest revision as of 09:57, 12 October 2008

Test Correction of # 3

An LTI system has unit impulse response $ h[n] = u[-n] $

Compute the system's response to the input $ x[n] = 2^{n}u[-n] $

(Simplify answer until all summation signs disappear.)

h[n] = u[-n]

x[n] = $ 2^{n} $u[-n]

y[n] = x[n] * h[n]

= $ \sum^{\infty}_{k = -\infty} 2^{k}u[-k]u[-n--k] $

since -k > 0 and k < 0 the summation parameters change

= $ \sum^{0}_{k = -\infty} 2^{k}u[-n+k] $

other step function changes parameters again

n = k

= $ \sum^{0}_{k = n} 2^{k} $


= $ \sum^{-n}_{0} \frac{1}{2}^{k} $ since n <= 0; </math>

This is then a property that can be exchanged to get rid of the summation signs using a general solution.

{ = $ \frac{1-\frac{1}{2}^{-n+1}}{1-\frac{1}{2}} $ For all k < n and n <= 0


{ = 0 , n > 0

The transform of this is then= $ (2-2^{n})u[-n] $

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BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman