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The term digitalfilter, or simply filter, is often used to refer to a discrete-time system. A digital filter is defined by J. E Kaiser1 as a ". . . computational process or algorithm by which a sampled signal or sequence of numbers (acting as the input) is transformed into a second sequence of numbers termed the output signal. The computational process may be that of lowpass filtering (smoothing), bandpass filtering, interpolation, the generation of derivatives, etc." Filters may be characterized in terms of their system properties, such as linearity, shift-invariance,causality, stability, etc., and they may be classified in terms of the form of their frequency response. Some of these classifications are described below. Linear Phase

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A linear shift-invariant system is said to have linear phase if its frequency response is of the form

3.1 Write and test this method, similar to the insert() method in Example 3.1 on page 46:

public class LinkedList { private Node start; public void insert(int x) { // Insert lines 2-14 of Example 3.12 on page 58 } public void delete(int x) { // Insert lines 2-18 of Example 3.13 on page 59 } private static class Node { // Insert lines 2-12 of Example 3.10 on page 56 } }

~ ( e i " )= A(ejw)e-jaw where ar is a real number and ~ ( e j " ) a real-valued function of w. Note that the phase of H(ei") is is 9h(W)= -a0

i-""

void delete(int[] a, int n, int x)

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Hiding the Node class within the LinkedList class encapsulates the LinkedList class, making it selfcontained and concealing its implementation details. A developer could change the implementation without having to modify any code outside of that class.

Similarly, a filter is said to have generalized linear phase if the frequency response has the form ~ ( ~ j= ~(~iw)~-iW-B) " ) Thus, filters with linear phase or generalized linear phase have a constant group delay.

'system Analysis by Digital Computer. F. F. Kuo and J. F. Kaiser, Eds.. John Wiley and Sons, New York. 1966

// precondition: 0 <= n < a.length; // postconditions: the first occurrence of x among {a[0], ..., a[n-1]} has been deleted;

3.1 3.2 3.3 3.4 3.5 Why is an array such an inefficient data structure for a dynamic sorted list What is an index array If linked lists are so much better than arrays, why are arrays used at all Why does insertion at the front of a linked list have to be done differently from insertion elsewhere Why are the lists backwards in the BigInt class

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A system is said to be allpass filter if the frequency response magnitude is constant: 1H(eJ")l = c An example of an allpass filter is the system that has a frequency response

where ct is any real number with l 1 < I. The unit sample response of this allpass filter is a h(n) = -a8(n)

CHAP. 3]

3.1 Write and test this method, similar to the insert() method in Example 3.1 on page 46:

+ (1 - ct2)an-'u(n - 1)

For example, if a[] is the array {33, 55, 77, 99, 77, 55, 33, 0}, then delete(a, 6, 55) will change a[] to {33, 77, 99, 77, 55, 33, 0, 0}. 3.2 Write and test this method:

Many of the filters that are important in applications have piecewise constant frequency response magnitudes. These include the low-pass, high-pass, bandpass, and bandstop filters that are illustrated in Fig. 2-1. The intervals over which the frequency response magnitude is equal to 1 are called the passbands, and the intervals over which it is equal to 0 are called the stopbands. The frequencies that mark the edges of the passbands and stopbands are the cutofffrequencies.

void delete(int[] a, int n, int x)

w-=a-n -

int size(Node list) // returns: the number of nodes in the specified list; For example, if list is {33, 55, 77, 99}, then size(list) will return 4.

// precondition: 0 <= n < a.length; // postconditions: the first occurrence of x among {a[0], ..., a[n-1]} has been deleted;

Fig. 2-1.

Filters are often interconnected to create systems that have desirable properties. Two common types of connections are series (cascade) and parallel. A cascade of two linear shift-invariant systems is shown in the figure below.

Write and test this method:

CHAP. 3]

H (el") = H l ( e j W ) ~ 2 ( e J W )

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