## Communication Systems EngineeringThorough coverage of basic digital communication system principles ensures that readers are exposed to all basic relevant topics in digital communication system design. The use of CD player and JPEG image coding standard as examples of systems that employ modern communication principles allows readers to relate the theory to practical systems. Over 180 worked-out examples throughout the book aids readers in understanding basic concepts. Over 480 problems involving applications to practical systems such as satellite communications systems, ionospheric channels, and mobile radio channels gives readers ample opportunity to practice the concepts they have just learned. With an emphasis on digital communications, Communication Systems Engineering, Second Edition introduces the basic principles underlying the analysis and design of communication systems. In addition, this book gives a solid introduction to analog communications and a review of important mathematical foundation topics. New material has been added on wireless communication systems -- GSM and CDMA/IS-94; turbo codes and iterative decoding; multicarrier (OFDM) systems; multiple antenna systems. Includes thorough coverage of basic digital communication system principles -- including source coding, channel coding, baseband and carrier modulation, channel distortion, channel equalization, synchronization, and wireless communications. Includes basic coverage of analog modulation such as amplitude modulation |

### From inside the book

Results 1-3 of 85

Page 22

(1.4.1) The

telephone channels, filters are used to ensure that the transmitted signals do not

exceed specified bandwidth limitations and thus do not interfere with one another

.

(1.4.1) The

**linear**filter channel. In some physical channels such as wirelinetelephone channels, filters are used to ensure that the transmitted signals do not

exceed specified bandwidth limitations and thus do not interfere with one another

.

Page 26

In this chapter, we review the basics of signals and

motivation for studying these fundamental concepts stems from the basic role

they play in modeling various types of communication systems. In particular,

signals are used ...

In this chapter, we review the basics of signals and

**linear**systems. Themotivation for studying these fundamental concepts stems from the basic role

they play in modeling various types of communication systems. In particular,

signals are used ...

Page 43

An example of a discrete-time system is the system described by y[n] = x[n] - x[n -

1] (2.1.35) This system is called a discrete-time differentiator.

Nonlinear Systems.

property is ...

An example of a discrete-time system is the system described by y[n] = x[n] - x[n -

1] (2.1.35) This system is called a discrete-time differentiator.

**Linear**andNonlinear Systems.

**Linear**systems are systems for which the superpositionproperty is ...

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### Contents

Introduction | 1 |

Signals and Linear Systems | 26 |

Random Processes | 143 |

Copyright | |

10 other sections not shown

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### Common terms and phrases

additive noise algorithm amplitude amplitude modulation assume autocorrelation function AWGN bandlimited bandpass bandwidth baseband binary block diagram channel bandwidth characteristics code words coefficients convolutional code correlation corresponding decoding defined demodulator denoted detection detector Determine distortion DSB-SC encoder entropy envelope detector equal error probability Euclidean distance Example Fourier series Fourier transform frequency response Gaussian random variables given Hence Huffman code impulse response information sequence input interval linear lowpass filter LTI system matched filter matrix message signal metrics modulated signal modulation index multipath NRZI obtain orthogonal signals PAM signal path performance power content power-spectral density probability of error pulse quantization radio random process received signal receiving filter result sampling shown in Figure signal waveforms signal x(t sinusoidal source output spectral spectrum spread-spectrum spread-spectrum signal SQNR stationary symbol synchronization theorem transmission transmitted signal trellis vector zero zero-mean