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public class BinaryTree<E> extends AbstractCollection { protected E root; protected BinaryTree<E> left, right, parent; protected int size; public BinaryTree() { } public BinaryTree(E root) { this.root = root; size = 1; } public BinaryTree(E root, BinaryTree<E> left, BinaryTree<E> right) { this(root); if (left != null) { this.left = left; left.parent = this; size += left.size(); } if (right != null) { this.right = right; right.parent = this; size += right.size(); } } public boolean equals(Object object) { if (object == this) { return true; } else if (!(object instanceof BinaryTree)) { return false; } BinaryTree that = (BinaryTree)object; return that.root.equals(this.root) && that.left.equals(this.left) && that.right.equals(this.right) && that.parent.equals(this.parent) && that.size == this.size; } public int hashCode() { return root.hashCode() + left.hashCode() + right.hashCode() + size; } public int size() { return size; } public Iterator iterator() { return new java.util.Iterator() { // anonymous inner class private boolean rootDone; private Iterator lIt, rIt; // child iterators

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(a) If .r(n) is of length N = 8192, and h(n) of length L = 512, performing the convolution directly requires

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complex multiplications. (b) Using the method of overlap-add with 1024-point FFTs. the number of multiplications is as follows. Because h(n) is of length 512, we may segment x(n) into sequences .r,(n) of length N = 512 so that the 1024-point circular convolutions of h(n) with x,(n) will be the same as linear convolutions (although we could use sections of length 5 13, this does not result in any computational savings). With the length of x(n) being equal to 8 192, this means that we will have 16 sequences of length 512. Therefore, to perform the convolution, we must compute 17 DFTs and 16 inverse DFTs. In addition, we must form the products Y , ( k ) = H (k)X,(k)for i = 1, 2, . . . 16. Thus, the total number of complex multiplicalions is approximately

CHAP. 11]

which is about 4.5 percent of the number of complex multiplies necessary to perform the convolution directly.

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Speech that is sampled at a rate of I0 kHz is to be processed in real time. Part of the computations required involve collecting blocks of 1024 speech values m d computing a 1024-point DFT and a 1024point inverse DFT. If it takes I p s for each real multiply. how much time remains for processing the data after the DFT and the inverse DFT are computed With a 10-kHz sampling rate, a block of 1024 samples is collected every 102.4 ms. With a radix-2 FFT, the number of complex multiplications for a 1024-point DFT is approximately 5 12 log, 1024 = 5120. With a complex multiply consisting of four real multiphes. this means that we have to perform 5.120. 4 = 20,480 real multiplies for the DFT and the same number for the inverse DFT. With 1 ps per multiply, this will take

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public boolean hasNext() { return !rootDone || lIt != null && lIt.hasNext() || rIt != null && rIt.hasNext(); } public Object next() { if (rootDone) { if (lIt != null && lIt.hasNext()) { return lIt.next(); } if (rIt != null && rIt.hasNext()) { return rIt.next(); } return null; } if (left != null) { lIt = left.iterator(); } if (right != null) { rIt = right.iterator(); } rootDone = true; return root; } public void remove() { throw new UnsupportedOperationException(); } };

(b) If a 4096-point DFT of the sampled signal is computed, what is the frequency spacing in hertz between the DFT coefficients'

(c) Suppose that we are only interested in the DFT samples that correspond to frequencies in the range 200 5 f 5 300 Hz. How many complex multiplies are required to evaluate these values computing the DFT directly, and how many are required if a decimation-in-time FFT is used

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