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signal processing from power amplifier operation control point of view

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2 INTRODUCTION<br />

Table 1.1<br />

Possible messages<br />

Index Representation Message<br />

Si S2<br />

1 +1—1 "Do you like classical music?"<br />

2 -1 -1 "Do you like soccer?"<br />

3 +1+1 "Do you like me?"<br />

Figure 1.1<br />

Dispersive scenario.<br />

Which message was sent? How would you figure it out? Would it help if symbol So<br />

were known or thought to be +1? Think about different approaches for determining<br />

the transmitted symbols. Try them out. Do they give the same answer? Do they<br />

give valid answers (the sequence si = — 1 S2 = +1 is not in the table)?<br />

1.1 THE IDEA<br />

Channel equalization is about solving the problem of intersymbol interference (ISI).<br />

What is ISI? First, information can be represented as digital symbols. Letters<br />

and words on computers are represented using the symbols 0 and 1. Speech and<br />

music are represented using integers by sampling the signal, as shown in Fig. 1.2.<br />

These numbers can be converted into base 2. Thus, the number 6 becomes 110<br />

(0x1 + 1x2+1x4). There are different ways of mapping the symbols 0 and 1<br />

into values for transmission. One mapping is to represent 0 with +1 and 1 with<br />

— 1. Thus, 110 is transmitted as using the series —1 —1 +1. The symbols 0 and 1<br />

are often referred to as Boolean values. The transmitted values are called modem<br />

symbols or simply symbols.<br />

ISI is the interference between symbols that can occur at the receiver. In the<br />

Alice and Bob example, we saw that one symbol was interfered by a previous symbol<br />

due to a second signal path. This is a problem in cell phone communications, and<br />

we will refer to it as the dispersive channel scenario. A cell tower transmitter sends

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