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814 Chapter 24 The Fourier transform

(a)

(b)

(c)

(d)

(e)

g[m ]

g[m – 1]

g[m – 2]

g[m + 1]

g[m + 2]

10

6 8

4

2

– 4

10

6 8

4

2

– 4

10

6 8

4

2

– 4

10

6 8

4

2

– 4

10

6 8

4

2

– 4

m

m

m

m

m

Figure24.32

The effect oftranslatingg[m].

n = 0

sum of products:

(7)(1) + (2)(9) + (–3)(–1) = 7 + 18 + 3 = 28

n = 1

sum of products:

(2)(1) + (–3)(9) = 2 – 27 = –25

n = 2

sum of products:

(–3)(1) = –3

n=–1

sum of products:

(7)(9) + (2)( –1) = 63 – 2 = 61

n= –2

sum of products:

(7)( –1) = –7

The graph ofg[m] can be translatednunits to the left or right by changing the

argument ofgfromg[m] tog[m −n]. Ifnis positive the graph moves to the right.

Study the figure to observe this. Correlation is the sum of products of f[m] and

g[m − n]. For each value of n, the graph of f[m] is superimposed. We are only

interested in values ofnfor which the graphs overlap -- otherwise each product is

zero.Foreachvalueofnthesuperimposedgraphsmakeiteasytoseewhichvalues

must be multiplied together and added. Placing these results in order confirms the

resultobtained inpart(a), thatisthe correlation is −7,61,28,−25,−3.

Whenasequenceiscross-correlatedwithitselftheprocessisknownasautocorrelation.

Autocorrelationisusedtosearchforpossibleperiodicitiesinsignals,becauseifasignal

isperiodicwithperiodN itsautocorrelationsequencewillshowpeaksatintervalsofN.

EXERCISES24.15.4

1 Find the linearcross-correlationofthe sequences

f[n] = 4,5,9 andg[n] = 3,1,1.

2 Show thatthe linearcross-correlationof f[n] andg[n]

can be written in the alternative form

f⋆g= ∑ ∞

m=−∞ f[m +n]g[m].

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