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ISBN:9781878707550

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简介

Summary: Publisher Summary 1 Carl R. Nassar, Ph.D., is professor of telecommunications at Colorado State University and director of the Research in Advanced Wireless Communications (RAWCom) laboratory there. He also consults for telecommunications firms and publishes extensively in the wireless literature. Balances a solid theoretical treatment of subjects with practical applications and examples. Covers both digital and analogue telecommunications systems, including digital modulation techniques. The CD accompanying the book includes MATLAB庐 tutorials that permit readers to model various telecommunications systems and an electronic version of the book   Publisher Summary 2 Carl R. Nassar, Ph.D., is professor of telecommunications at Colorado State University and director of the Research in Advanced Wireless Communications (RAWCom) laboratory there. He also consults for telecommunications firms and publishes extensively in the wireless literature. Balances a solid theoretical treatment of subjects with practical applications and examples. Covers both digital and analogue telecommunications systems, including digital modulation techniques. The CD accompanying the book includes MATLAB tutorials that permit readers to model various telecommunications systems and an electronic version of the book  

目录

Table Of Contents:
Foreword xv
What's on the CD-ROM? xvii

Introducing Telecommunications 1(12)

Communication Systems 1(2)

Definition 1(1)

The Parts of a Communication System 2(1)

An Example of a Communication System 2(1)

Telecommunication Systems 3(3)

Definition 3(1)

Four Examples and an Erratic History Lesson 4(2)

Analog and Digital Communication Systems 6(4)

Some Introductory Definitions 6(1)

Definitions 7(1)

And Digital Became the Favorite 8(1)

Making It Digital 9(1)

Congrats and Conclusions 10(3)

Telecommunication Networks 13(26)

Telecommunication Network Basics 13(6)

Connecting People with Telephones 13(1)

Connecting More People, Farther Apart 14(2)

Multiplexing---An Alternative to a Lot of Wire 16(3)

POTS: Plain Old Telephone System 19(5)

Local Calls 19(1)

Long Distance Calls 20(1)

The Signals Sent from Switching Center to Switching Center 21(3)

Communication Channels 24(7)

Transmission Lines (Wires) 24(2)

Terrestrial Microwave 26(2)

Satellite Connections 28(1)

Fiber-optic Links 29(2)

Data Communication Networks 31(2)

Mobile Communications 33(2)

Local Area Networks (LANs) 35(2)

Conclusion 37(2)

A Review of Some Important Math, Stats, and Systems 39(22)

Random Variables 39(6)

Definitions 39(1)

The Distribution Function: One Way to Describe x 39(1)

The Density Function: A Second Way to Describe x 40(1)

The Mean and the Variance 41(3)

Multiple Random Variables 44(1)

Random Processes 45(5)

A Definition 45(2)

Expressing Yourself, or a Complete Statistical Description 47(1)

Expressing Some of Yourself, or a Partial Description 47(1)

And in Telecommunications 48(2)

Signals and Systems: A Quick Peek 50(8)

A Few Signals 50(1)

Another Way to Represent a Signal: The Fourier Transform 51(2)

Bandwidth 53(2)

A Linear Time Invariant (LTI) System 55(1)

Some Special Linear Time Invariant (LTI) Systems 56(2)

Onward 58(3)

Source Coding and Decoding: Making it Digital 61(54)

Sampling 61(10)

Ideal Sampling 61(6)

Zero-order Hold Sampling 67(2)

Natural Sampling 69(2)

Quantization 71(21)

Meet the Quantizer 71(6)

The Good Quantizer 77(11)

The Quantizer and the Telephone 88(4)

Source Coding: Pulse Code Modulator (PCM) 92(4)

Introducing the PCM 92(1)

PCM Talk 93(1)

The ``Good'' PCM 94(1)

Source Decoder: PCM Decoder 95(1)

Predictive Coding 96(14)

The Idea Behind Predictive Coding 97(1)

Why? 97(1)

The Predicted Value and the Predictive Decoder 98(1)

The Delta Modulator (DM) 99(2)

The Signals in the DM 101(4)

Overload and Granular Noise 105(2)

Differential PCM (DPCM) 107(3)

Congrats and Conclusion 110(5)

Getting It from Here to There: Modulators and Demodulators 115(56)

An Introduction 115(1)

Modulators 116(17)

Baseband Modulators 116(8)

Bandpass Modulators 124(9)

Just-in-Time Math, or How to Make a Modulator Signal Look Funny 133(13)

The Idea 134(4)

Representing Modulated Signals 138(8)

Bring it Home, Baby, or Demodulators 146(15)

What Demodulators Do 146(1)

The Channel and Its Noise 147(1)

Building a Demodulator, Part I---the Receiver Front End 148(4)

The Rest of the Demodulator, Part II---The Decision Makers 152(4)

How to Build It 156(5)

How Good Is It Anyway (Performance Measures) 161(5)

A Performance Measure 161(1)

Evaluation of P(ϵ) for Simple Cases 162(4)

Some well-known P(ϵ)'s 166(1)

What We Just Did 166(5)

Channel Coding and Decoding: Part 1-Block Coding and Decoding 171(26)

Simple Block Coding 172(5)

The Single Parity Check Bit Coder 172(3)

Some Terminology 175(1)

Rectangular Codes 175(2)

Linear block codes 177(11)

Introduction 177(2)

Understanding Why 179(2)

Systematic Linear Block Codes 181(1)

The Decoding 182(6)

Performance of the Block Coders 188(4)

Performances of Single Parity Check Bit Coders/Decoders 188(1)

The Performance of Rectangular Codes 189(1)

The Performance of Linear Block Codes 189(3)

Benefits and Costs of Block Coders 192(1)

Conclusion 193(4)

Channel Coding and Decoding: Part 2-Convolutional Coding and Decoding 197(24)

Convolutional Coders 197(6)

Our Example 197(2)

Making Sure We've Got It 199(1)

Polynomial Representation 200(1)

The Trellis Diagram 201(2)

Channel Decoding 203(10)

Using a Trellis Diagram 204(2)

The Viterbi Algorithm 206(7)

Performance of the Convolutional Coder 213(1)

Catastrophic Codes 214(2)

Building Your Own 216(5)

Trellis-Coded Modulation (TCM) The Wisdom of Modulator and Coder Togetherness 221(24)

The Idea 222(3)

Improving on the Idea 225(5)

The Receiver End of Things 230(15)

The Input 231(2)

The TCM Decoder Front End 233(1)

The Rest of the TCM Decoder 234(3)

Searching for the Best Path 237(8)

Channel Filtering and Equalizers 245(34)

Modulators and Pulse Shaping 245(4)

The Channel That Thought It Was a Filter 249(2)

Receivers: A First Try 251(7)

The Proposed Receiver 251(3)

Making the Receiver a Good One 254(2)

The Proposed Receiver: Problems and Usefulness 256(2)

Optimal Receiver Front End 258(4)

Optimal Rest-of-the-Receiver 262(9)

The Input 262(2)

A Problem with the Input, and a Solution 264(1)

The Final Part of the Optimal Receiver 265(6)

An Issue with Using the Whitening Filter and MLSE 271(1)

Linear Equalizers 271(3)

Zero Forcing Linear Equalizer 272(1)

MMSE (Minimum Mean Squared Error) Equalizer 273(1)

Other Equalizers: the FSE and the DFE 274(1)

Conclusion 275(4)

Estimation and Synchronization 279(20)

Introduction 279(1)

Estimation 280(5)

Our Goal 280(1)

What We Need to Get an Estimate of a Given r 281(1)

Estimating a Given r, the First Way 281(1)

Estimating a Given r, the Second Way 282(1)

Estimating a Given r, the Third Way 283(2)

Evaluating Channel Phase: A Practical Example 285(9)

Our Example and Its Theoretically Computed Estimate 285(5)

The Practical Estimator: the PLL 290(2)

Updates to the Practical Estimator in MPSK 292(2)

Conclusion 294(5)

Multiple Access Schemes: Teaching Telecommunications Systems to Share 299(22)

What It Is 299(1)

The Underlying Ideas 300(3)

TDMA 303(2)

FDMA 305(1)

CDMA 306(9)

Introduction 306(4)

DS-CDMA 310(2)

FH-CDMA 312(1)

MC-CDMA 313(2)

CIMA 315(3)

Conclusion 318(3)

Analog Communications 321(24)

Modulation---An Overview 321(1)

Amplitude Modulation (AM) 322(12)

AM Modulators---in Time 323(3)

AM Modulation---in Frequency 326(2)

Demodulation of AM Signals---Noise-Free Case 328(2)

An Alternative to AM---DSB-SC 330(4)

Frequency Modulation (FM) 334(5)

The Modulator in FM 335(4)

The Demodulator in FM 339(1)

The Superheterodyne Receiver 339(2)

Summary 341(4)
Annotated References and Bibliography 345(4)
Index 349

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