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1. 1 - 1. CHAPTER 1. Signals and Spectra. Digital Communications : Fundamentals and Applications. Figure 1.1 Pulse degradation and regeneration. 1 - 2.
Digital Communications : Fundamentals and Applications

Figure 1.1

CHAPTER 1 Signals and Spectra

Pulse degradation and regeneration.

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Figure 1.2

CHAPTER 1 Signals and Spectra

Block diagram of a typical digital communication system.

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Digital Communications : Fundamentals and Applications

Figure 1.3

CHAPTER 1 Signals and Spectra

Digital Communications : Fundamentals and Applications

Basic digital communication transformations.

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Figure 1.4

CHAPTER 1 Signals and Spectra

Nomenclature examples.

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Digital Communications : Fundamentals and Applications

Figure 1.5

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Digital Communications : Fundamentals and Applications

CHAPTER 1 Signals and Spectra

Digital Communications : Fundamentals and Applications

Random noise process.

Figure 1.6

CHAPTER 1 Signals and Spectra

Autocorrelation and power spectral density.

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CHAPTER 1 Signals and Spectra

Digital Communications : Fundamentals and Applications

Figure 1.6

Continued.

Figure 1.7

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CHAPTER 1 Signals and Spectra

Figure 1.9

CHAPTER 1 Signals and Spectra

Linear system and its key parameters.

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Digital Communications : Fundamentals and Applications

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Normalized (σ=1) Gaussian probability density function.

Digital Communications : Fundamentals and Applications

(a) Power spectral density of white noise.(b) Autocorrelation function of white noise.

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Figure 1.10

CHAPTER 1 Signals and Spectra

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Digital Communications : Fundamentals and Applications

Figure 1.8

Digital Communications : Fundamentals and Applications

CHAPTER 1 Signals and Spectra

(a) Input signal X(t) is a unit impulse function. (b) Output signal y(t) is the system’s impulse response h(t).

Digital Communications : Fundamentals and Applications

Figure 1.11

CHAPTER 1 Signals and Spectra

Ideal filter transfer function.(a) Ideal bandpass filter. (b) Ideal low-pass filter. (c) Ideal high-pass filter.

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Digital Communications : Fundamentals and Applications

Figure 1.12

CHAPTER 1 Signals and Spectra

Impulse response of the ideal low-pass filter.

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CHAPTER 1 Signals and Spectra

Figure 1.13 RC filter and its transfer function. (a) RC filter. (b) Magnitude characteristic of the RC filter. (c) Phase characteristic of the RC filter.

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Digital Communications : Fundamentals and Applications

Figure 1.14

CHAPTER 1 Signals and Spectra

Butterworth filter magnitude response.

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Figure 1.16

Digital Communications : Fundamentals and Applications

CHAPTER 1 Signals and Spectra

Figure 1.15 Spectral characteristics of the input signal and the circuit contribute to the spectral characteristics of the output signal. (a) Case 1: Output bandwidth is constrained by input signal bandwidth. (b) Case 2: Output bandwidth is constrained by filter bandwidth.

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Digital Communications : Fundamentals and Applications

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Digital Communications : Fundamentals and Applications

CHAPTER 1 Signals and Spectra

(a) Ideal pulse. (b) Magnitude spectrum of the ideal pulse.

Digital Communications : Fundamentals and Applications

CHAPTER 1 Signals and Spectra

Figure 1.17 Three examples of filtering and ideal pulse. (a) Example 1: Good-fidelity output. (b) Example 2: Good-recognition output. (c) Example 3: Poor-recognition output.

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Digital Communications : Fundamentals and Applications

CHAPTER 1 Signals and Spectra

Figure 1.18 Comparison of Baseband and double-sideband spectra. (a) Heterodyning. (b) Baseband spectrum. (c) Double-sideband spectrum. 1 - 19

Digital Communications : Fundamentals and Applications

CHAPTER 1 Signals and Spectra

Figure 1.20 Bandwidth of digital data. (a) Half-power. (b) Noise equivalent. (c) Null to null. (d) 99% of power. (e) Bounded PSD (defines attentuation outside bandwidth) at 35 and 50 dB.

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Digital Communications : Fundamentals and Applications

Figure P1.1

Digital Communications : Fundamentals and Applications

CHAPTER 1 Signals and Spectra

Figure 1.19 (a) Strictly bandlimited signal in the time domain.(b) In the frequency domain. (c) Strictly time limited signal in the time domain. (d) In the frequency domain.

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Digital Communications : Fundamentals and Applications

CHAPTER 1 Signals and Spectra

Figure 1.21 Transfer function and impulse response for a strictly bandlimited signal. (a) Ideal bandpass filter. (b) Ideal bandpass impulse response. 1 - 22

CHAPTER 1 Signals and Spectra

Figure P1.2

Figure P1.3

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