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The frequency response may be found by inspection without solving the difference equation for h ( n ) as follows:

Note that this problem may also be worked in the reverse direction. For example, given a frequency response function such as

void swap(Node list, int i, int j) // swaps the ith element with the jth element;

For example, if list1 is {22, 33, 55, 88} and list2 is {44, 66, 77, 99}, then merged(list1, list2) will return the new list {22, 33, 44, 55, 66, 77, 88, 99}. Note that the three lists should be completely independent of each other. Changing one list should have no effect upon the others. 3.14 Write and test this method:

a difference equation may be easily found that will implement this system. First, dividing numerator and denominator by 2 and rewriting the frequency response as follows,

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Because the DTFT maps convolution in the time domain into multiplication in the frequency domain, the DTFT provides an alternative to performing convolutions in the time domain. The following example illustrates the procedure.

For example, if list is {22, 33, 44, 55, 66, 77, 88, 99}, then swap(list, 2, 5) will change list to {22, 33, 77, 55, 66, 44, 88, 99}. 3.13 Write and test this method:

void rotateLeft(Node list) // moves the first element of the specified list to its end;

let us find the response of the system to the input x ( n ) = Bnu(n),where (a1< 1, the system is the convolution of x ( n ) with h(n),

y(n) = h(n)* x(n)

Node merged(Node list1, Node list2) // precondition: list1 and list2 are both in ascending order; // returns: a new list that contains all the elements of list1 and // list2 in ascending order;

For example, if list is {22, 33, 44, 55, 66, 77, 88, 99}, then rotateLeft(list) will change list to {33, 44, 55, 66, 77, 88, 99, 22}. Note that no new nodes are created by this method.

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Y ( e J W= H ( e J w W ( e J w= ) )

Therefore, all that is required is to find the inverse DTFT of Y (el"). This may be done easily by expanding Y (ej") as follows:

3.1 3.2 3.3 3.4 3.5

where A and B are constants that are to be determined. Expressing the right-hand side of this expansion over a common denominator,

In Chap. 1 we looked at methods for solving difference equations in the "time domain." The DTFT may be used to solve difference equations in the "frequency domain" provided that the initial conditions are zero. The procedure is simply to transform the difference equation into the frequency domain by taking the DTFT of each term in the equation, solving for the desired term, and finding the inverse DTFT.

void rotateLeft(Node list) // moves the first element of the specified list to its end;

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