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CHAPTER 6. INFORMATION COMMUNICATION

From our work in Fourier series, we know that this signal’s spectrum contains odd-harmonics of the 1 fundamental, which here equals . Thus, strictly speaking, the signal’s bandwidth is infinite. In practical 2T terms, we use the 90%-power bandwidth to assess the effective range of frequencies consumed by the signal. The first and third harmonics contain that fraction of the total power, meaning that the effective bandwidth 3 3R of our baseband signal is or, expressing this quantity in terms of the datarate, . Thus, a digital 2T 2 communications signal requires more bandwidth than the datarate: a 1 Mbps baseband system requires a bandwidth of at least 1.5 MHz. Listen carefully when someone describes the transmission bandwidth of digital communication systems: Did they say “megabits” or “megahertz?” Exercise 6.15 (Solution on p. 256.) Show that indeed the first and third harmonics contain 90% of the transmitted power. If the receiver 3 uses a front-end filter of bandwidth , what is the total harmonic distortion of the received signal? 2T Exercise 6.16 (Solution on p. 256.) What is the 90% transmission bandwidth of the modulated signal set?

6.15 Frequency Shift Keying18 In frequency-shift keying(FSK), the bit affects the frequency of a carrier sinusoid. s0 (t) = ApT (t) sin (2πf0 t)

(6.41)

s1 (t) = ApT (t) sin (2πf1 t)

s0(t)

s1(t)

A

A T

t

T

t

Figure 6.11

The frequencies f0 , f1 are usually harmonically related to the bit interval. In the depicted example, 3 4 f0 = and f1 = . As can be seen from the transmitted signal for our example bit stream (Figure 6.12), T T the transitions at bit interval boundaries are smoother than those of BPSK. To determine the bandwidth required by this signal set, we again consider the alternating bit stream. Think of it as two signals added together: The first comprised of the signal s0 (t), the zero signal, s0 (t), x(t) “0” “1” “1” “0” A

t T

2T

3T

4T

Figure 6.12: This plot shows the FSK waveform for same bitstream used in the BPSK example (Figure 6.8).


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7.2 Permutations and Combinations

2min
page 262

7.1 Decibels

2min
page 261

Solutions

2min
page 265

Solutions

11min
pages 255-260

6.37 Communication Protocols

3min
page 239

6.34 Message Routing

2min
page 235

6.33 Communication Networks

3min
page 234

6.31 Capacity of a Channel

2min
page 232

6.30 Noisy Channel Coding Theorem

2min
page 231

6.28 Error-Correcting Codes: Channel Decoding

5min
pages 228-229

6.26 Block Channel Coding

2min
page 225

6.24 Channel Coding

3min
page 223

6.20 Entropy

1min
page 218

6.15 Frequency Shift Keying

2min
page 212

6.13 Digital Communication

2min
page 209

6.5 Line-of-Sight Transmission

3min
page 202

6.1 Information Communication

3min
page 195

6.12 Signal-to-Noise Ratio of an Amplitude-Modulated Signal

2min
page 208

6.9 Channel Models

2min
page 205

5.16 Discrete-Time Filtering of Analog Signals

3min
page 179

5.5 Discrete-Time Signals and Systems

6min
pages 152-153

2.1 Complex Numbers

8min
pages 11-13

5.14 Filtering in the Frequency Domain

8min
pages 172-175

Solutions

2min
page 30

3.9 The Impedance Concept

2min
page 48

5.4 Amplitude Quantization

5min
pages 150-151

3.16 Power Conservation in Circuits

3min
page 62

3.12 Equivalent Circuits: Impedances and Sources

3min
page 53
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