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If x l ( n )and x 2 ( n ) have N-point DFTs X l ( k ) and X 2 ( k ) ,respectively,
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In using this property, it is important to ensure that the DFTs are the same length. If x l ( n ) and x z ( n ) have different lengths, thc shorter sequence must be padded with zeros in order to make it the same length as the longer sequence. For example, if x l ( n ) is of length N I and x 2 ( n ) is of length N2 with N2 > N 1. x l ( n ) may be considered to be a sequence of length N2 with the last N2 - N I values equal to zero, and DFTs of length N2 may be taken for both sequences.
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If x ( n ) is real-valued, X ( k ) is conjugate symmetric,
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X ( k ) = X * ( ( - k ) ) = X*((N - k ) ) ~
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and if x ( n ) is imaginary, X ( k ) is conjugate antisymmetric,
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X(kj = -X*((-k)) = -X*((N
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The circular shift of a sequence x ( n ) is defined as follows:
x((n - n o ) ) ~ R ~ (= i)( n - n o ) R ~ ( n ) n
where no is the amount of the shift and RN n ) is a rectangular window: (
A circular shift may be visualized as follows. Suppose that the values of a sequence x ( n ) , from n = 0 to n = N - I , are marked around a circle as illustrated in Fig. 6-1 or in an eight-point sequence. A circular shift to the
right by no corresponds to a rotation of the circle no positions in a clockwise direction. An example illustrating the circular shift of a four-point sequence is shown in Fig. 6-2. Another way to circularly shift a sequence is to form the periodic sequence i ( n ) , perform a linear shift, T ( n - no), and then extract one period o f f ( n - no) by multiplying by a rectangular window. If a sequence is circularly shifted, the DFT is multiplied by a complex exponential,
.r((n - no)) N R N ( ~ ) w;lk x ( k )
(6.6)
Similarly, with a circular shift of the DFT, X ( ( k - k O ) ) ~ . sequence is multiplied by a complex exponential, the
THE DFT
[CHAP. 6
(a) An eight-point sequence.
around the circle.
(b) Circular shift by two.
Fig. 6-1. Visualizing a circular shift by rotating a circle that has the sequence values written
(a)A discrete-time signal of length N = 4.
(b) Circular shift by one.
(c) Circular shift by two. (d) Circular shift by three. Fig. 6-2. The circular shift of a four-point sequence.
Circular Convolution
Let h ( n ) and x ( n ) be finite-length sequences of length N with N-point DFTs H ( k ) and X ( k ) , respectively. The sequence that has a DFT equal to the product Y ( k ) = H (k)X ( k ) is
CHAP. 61
THE DFT
whereP(n) and h(n) are the periodic extensions of the sequences x(n) and h(n ), respective1y. ~ e c a u s h(n) = h(n) e for 0 5 n < N, the sum in Eq. (6.8) may also be written as
The sequence y(n) in Eq. (6.9) is the N-point circular convolution of h(n) with x(n), and it is written as
The circular convolution of two finite-length sequences h(n) and x(n) is equivalent to one period of the periodic convolution of the periodic sequences i ( n ) andf(n),
In general, circular convolution is not the same as linear convolution. and N -point circular convolution is different, in general, from M-point circular convolution when M # N .
EXAMPLE 6.4.1
Let us perform the four-point circular convolution of the two sequences h(n) and x(n) shown below.
The four-point circular convolution is
which may be performed graphically, as follows. The value of y(n) at n = 0 is
Shown in the figure below is a plot of the sequence h(-k)R4(k).
To evaluate y(O), we multiply this sequence by x ( k ) and sum the product from k = 0 to k = 3. The result is y(0) = 1. Next, to find the value of y( I), we evaluate the sum
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