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Unformatted text preview: ECE600 Introduction to Digital Signal Processing Winter 2011 Homework #1 Jan. 12, 2011 HOMEWORK SOLUTIONS #1 1. Here, the input/output relationship of H is y [ n ] = 2 m =0 x [ n m ] = x [ n ] + x [ n 1] + x [ n 2]. (a) For H to be linear, we need that H{ x [ n ] + w [ n ] } = H{ x [ n ] } + H{ w [ n ] } for all and and x [ n ] and w [ n ] . From the I/O relationship, we know that H{ x [ n ] + w [ n ] } = 2 summationdisplay m =0 ( x [ n m ] + w [ n m ]) = 2 summationdisplay m =0 x [ n m ] + 2 summationdisplay m =0 w [ n m ] = H{ x [ n ] } + H{ w [ n ] } . Thus, the system is linear. (b) Time invariance means that, if H{ x [ n ] } = y [ n ], then H{ x [ n d ] } = y [ n d ] for any integer shift d . Substituting n n d in H{ x [ n ] } , we get H{ x [ n d ] } = x [ n d ] + x [ n d 1] + x [ n d 2] and substituting n n d in the expression for y [ n ], we get y [ n d ] = x [ n d ] + x [ n d 1] + x [ n d 2] . Since these two quantities are equal, the system is timeinvariant. (c) Causality means that, for any time d , the output y [ d ] does not depend on the future inputs { x [ n ] } n>d . From the I/O relationship, we see that y [ d ] depends only on the current input x [ d ] and the past inputs x [ d 1] and x [ d 2], and thus the system is causal. (d) Stability means that a bounded input guarantees a bounded output. To examine whether the system is stable, we can assume a generic bounded input and check to see whether the output is bounded....
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This note was uploaded on 02/21/2011 for the course ECE 600 taught by Professor Clymer,b during the Spring '08 term at Ohio State.
 Spring '08
 Clymer,B
 Digital Signal Processing, Signal Processing

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