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(a) Design a linear phase FIR filter to meet these filter specifications using the window design method. ( b ) What is the approximate order of the equiripple filter that will meet these specifications

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of the array, putting them in ascending order, as we can see from the output from line 8. At line 9, the Arrays.binarySearch() method is invoked. The second argument, 44, is the search target. The method returns the index 2, which is assigned to k at line 9. Line 11 verifies that 44 is indeed the value of a[2]. The method is invoked again at line 13, this time searching for the target 45. The value is not found in the array, so the method returns a negative number, k = 4. When this happens, the index i = k 1 will be the position in the array where the target element should be inserted to maintain the ascending order of the array. Note that, in this case, i = k 1 = 3, and 45 should be inserted at a[3] since there are three elements in the array that are less than 45. The output from line 17 shows how the Arrays.fill() method works: It filled the eight-element array b[] with the argument 55.

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(a) Recall that with the window design method, the ripples in the passbands and stopbands will be approximately the same, along with the widths of the transition bands. Because the smallest ripple occurs in the stopband, we must pick a window that provides a stopband attenuation of

import java.util.Arrays; public class TestArrays { public static void main(String[] args) { int[] a = {44, 77, 55, 22, 99, 88, 33, 66}; print(a); Arrays.sort(a); print(a); int k = Arrays.binarySearch(a, 44); System.out.printf("Arrays.binarySearch(a, 44): %d%n", k); System.out.printf("a[%d]: %d%n", k, a[k]); k = Arrays.binarySearch(a, 45); System.out.printf("Arrays.binarySearch(a, 45): %d%n", k); int[] b = new int[8]; print(b); Arrays.fill(b, 55); print(b); System.out.println("Arrays.equals(a,b): " + Arrays.equals(a,b)); } }

B = 0.5842(aS - 2 I)'.~+ 0.07886(a, - 2 1) = 4.09

Finally, line 18 shows how the Arrays.equals() method works. It will return true only if the two arrays have the same element type (as a[] and b[] do: int[]), the same length (as a[] and b[] do: 8), and the same values at each element (a[] and b[] do not).

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The transition width between the lower stopband and the passband is Aw = 0 . 0 2 ~ and between the upper . stopband and the passband it is A o = 0 . 0 5 ~ Therefore, we must design the filter to meet the lower transition bandwidth requirement, Aw = 0.02j7, or Af = 0.01. Thus, for ;i Hamming window, the estimated filter order

44 77 55 22 99 88 33 66 22 33 44 55 66 77 88 99 Arrays.binarySearch(a, 44): 2 a[2]: 44 Arrays.binarySearch(a, 45): -4 0 0 0 0 0 0 0 0 55 55 55 55 55 55 55 55 Arrays.equals(a,b): false The array a[] is created and printed at lines 5 6. At line 7, the call Arrays.sort(a) sorts the elements

( b ) For an equiripple filter, the filter order may be estimated as follows,

The java.util.Arrays class is outlined in more detail in page 95. THE SEQUENTIAL SEARCH ALGORITHM The sequential search (also called the linear search) is the simplest search algorithm. It is also the least efficient. It simply examines each element sequentially, starting with the first element, until it finds the key element or it reaches the end of the array. If you were looking for someone on a moving passenger train, you would use a sequential search. Here is the sequential search algorithm: (Postcondition: either the index i is returned where si = x, or 1 is returned.) 1. Repeat steps 2 3, for i = 0 to n 1. 2. (Invariant: none of the elements in the subsequence {s 0...s i 1} is equal to x.) 3. If s i = x, return i . 4. Return 1. It is implemented in Example 2.4. EXAMPLE 2.4 The Sequential Search

Use the window design method to design a type I1 bandpass filter according to the following specifications:

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