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15.13 A wheel graph on n vertices is a graph of size n +1 consisting of a n-cycle in which each of the n vertices is also adjacent to a single common center vertex. For example, the graph shown in Figure 15.39 is the wheel graph on six vertices. Describe: a. The adjacency matrix of a wheel graph on n vertices b. The incidence matrix of a wheel graph on n vertices c. The adjacency list of a wheel graph on n vertices

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The linear phase constraint on FIR filters places constraints on the unit sample response and the location of the zeros of the system function. In the table below, indicate with a check which filter types could successfully be used to approximate the given filter type. Type I Low-pass filter High-pass filter Band~ass filter Bandstop filter Differentiator Type 1 1 Type 1 1 1 Type IV

There must be exactly two 1s in each column of an incidence matrix of a simple graph because each column represents a unique edge of the graph, and each edge is incident upon exactly two distinct vertices.

CHAP. 15]

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A type I linear phase filter has no constraints on the locations of its zeros. Therefore, a type I filter may be used for the design of any type of filter. The type I1 linear phase filter will always have a zero at w = n. Therefore, these filters should only be used for low-pass and bandpass filters. The type 111 linear phase filter is constrained to have zeros at w = n and w = 0. Therefore, type 111 filters should only be used for the design of bandpass tilters. Finally, because the type IV filters have a zero at w = 0, they should not be used in the design of low-pass or bandstop filters. These results are summarized in the table below.

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15.1 a. b. c. d. e. f. g. h. i. j. k. n = 6. V = {a, b, c, d, e, f}. E = {ab, bc, bd, cd, ce, de, cf, df}. d(a) = 1, d(b) = 3, d(e) = d(f) = 2, d(c) = d(d) = 4. The path abcd has length 3. The path abcfde has length 5. The cycle bcedb has length 4. A spanning tree is shown in Figure 15.46. Its adjacency matrix is shown in Figure 15.47. Its incidence matrix is shown in Figure 15.47. Its adjacency list is shown in Figure 15.47.

15.14 Let G1 and G2 be the graphs shown in Figure 15.40: a. Determine whether G1 and G2 are isomorphic. Justify your conclusion. b. Either find an euler cycle for G2 or explain why it has none. c. Either find a hamiltonian cycle for G2 or explain why it has none.

For historical reasons, the design formulas for analog filters are given assuming a peak gain of I in the passband. In terms of the parameters E and A, the filter specifications have the form Low-pass filter High-pass filter Bandpass filter bands to^ filter Differentiator

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n = 6. V = {a, b, c, d, e, f}. E = {ad, ba, bd, cb, cd, ce, cf, de, ec, fe}. id(a) = id(b) = id(c) = id(f) = 1, id(d) = id(e) = 3. od(a) = od(d) = od(e) = od(f) = 1, od(b) = 2, od(c) = 4. The path adec has length 3. The path fecbad has length 5. The cycle adcba has length 4. A spanning tree is shown in Figure 15.48. Its adjacency matrix is shown in Figure 15.49. Its incidence matrix is shown in Figure 15.49.

15.15 Trace Dijkstra s algorithm (Algorithm 15.1 on page 297) on the graph in Figure 15.41, showing the shortest path and its distance from node A to every other node.

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Suppose that we would like to use the bilinear transformation to design a discrete-time IIR low-pass filter that satisfies the following frequency response constraints: 1-6,

CHAP. 15]

15.16 Trace Dijkstra s algorithm on the graph in Figure 15.42, showing the shortest path and its distance from node A to every other node. 15.17 There are four standard algorithms for traversing binary trees: the preorder traversal, the inorder traversal, the postorder traversal. and the level-order traversal. If a binary tree is regarded as a connected acyclic graph, which tree traversal results from a: a. Depth-first search

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15.18 Determine which of the graphs in Figure 15.43 on page 310 are isomorphic. Note that all seven graphs have size 10.

The complete graphs are shown in Figure 15.50:

0 5 w 5 w,