{"product_id":"digital-communication-for-practicing-engineers-isbn-9781119418009","title":"Digital Communication for Practicing Engineers","description":"\u003cp\u003e\u003cb\u003eOffers concise, practical knowledge on modern communication systems to help students transition smoothly into the workplace and beyond\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eThis book presents the most relevant concepts and technologies of today's communication systems and presents them in a concise and intuitive manner. It covers advanced topics such as Orthogonal Frequency-Division Multiplexing (OFDM) and Multiple-Input Multiple-Output (MIMO) Technology, which are enabling technologies for modern communication systems such as WiFi (including the latest enhancements) and LTE-Advanced.\u003c\/p\u003e \u003cp\u003eFollowing a brief introduction to the field, \u003ci\u003eDigital Communication for Practicing Engineers\u003c\/i\u003e immerses readers in the theories and technologies that engineers deal with. It starts off with Shannon Theorem and Information Theory, before moving on to basic modules of a communication system, including modulation, statistical detection, channel coding, synchronization, and equalization. The next part of the book discusses advanced topics such as OFDM and MIMO, and introduces several emerging technologies in the context of 5G cellular system radio interface. The book closes by outlining several current research areas in digital communications. In addition, this text:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eBreaks down the subject into self-contained lectures, which can be read individually or as a whole\u003c\/li\u003e \u003cli\u003eFocuses on the pros and cons of widely used techniques, while providing references for detailed mathematical analysis\u003c\/li\u003e \u003cli\u003eFollows the current technology trends, including advanced topics such as OFDM and MIMO\u003c\/li\u003e \u003cli\u003eTouches on content this is not usually contained in textbooks such as cyclo-stationary symbol timing recovery, adaptive self-interference canceler, and Tomlinson-Harashima precoder\u003c\/li\u003e \u003cli\u003eIncludes many illustrations, homework problems, and examples\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eDigital Communication for Practicing Engineers\u003c\/i\u003e is an ideal guide for graduate students and professionals in digital communication looking to understand, work with, and adapt to the current and future technology.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Why this Book? 1\u003c\/p\u003e \u003cp\u003e1.2 How to Use this Book 2\u003c\/p\u003e \u003cp\u003e1.3 Scope 2\u003c\/p\u003e \u003cp\u003e1.4 Roadmap 4\u003c\/p\u003e \u003cp\u003e1.5 Other Notes 5\u003c\/p\u003e \u003cp\u003eAcknowledgments 7\u003c\/p\u003e \u003cp\u003eReferences 8\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Shannon Theorem and Information Theory 9\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 9\u003c\/p\u003e \u003cp\u003e2.2 Reliable Transmission with Noisy Channel 10\u003c\/p\u003e \u003cp\u003e2.3 Entropy and Uncertainty 10\u003c\/p\u003e \u003cp\u003e2.4 Entropy and Bit Length 14\u003c\/p\u003e \u003cp\u003e2.5 Information Measured as Reduction of Uncertainty 18\u003c\/p\u003e \u003cp\u003e2.6 Shannon Theorem 21\u003c\/p\u003e \u003cp\u003e2.7 Additive White Gaussian Noise (AWGN) Channel 25\u003c\/p\u003e \u003cp\u003e2.8 Frequency-Selective Channel and Water Filling 32\u003c\/p\u003e \u003cp\u003e2.9 Summary 34\u003c\/p\u003e \u003cp\u003e2.10 Appendix: Derivation of Entropy as a Measure of Uncertainty 34\u003c\/p\u003e \u003cp\u003e2.11 Appendix: Compression Coding 38\u003c\/p\u003e \u003cp\u003eReferences 43\u003c\/p\u003e \u003cp\u003eHomework 43\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Single Carrier Modulation and Nyquist Sampling Theory 45\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 45\u003c\/p\u003e \u003cp\u003e3.2 Symbol Mapping 47\u003c\/p\u003e \u003cp\u003e3.3 Nyquist–Shannon Sampling Theory 58\u003c\/p\u003e \u003cp\u003e3.4 Pulse Shaping and Nyquist Criterion 69\u003c\/p\u003e \u003cp\u003e3.5 Implementation of Pulse Shaping Filter: Up-Sampling 74\u003c\/p\u003e \u003cp\u003e3.6 Baseband and Passband 76\u003c\/p\u003e \u003cp\u003e3.7 Summary 85\u003c\/p\u003e \u003cp\u003e3.8 Appendix: Fourier Transform 87\u003c\/p\u003e \u003cp\u003e3.9 Appendix: Function Localization in Frequency and Time Domains 91\u003c\/p\u003e \u003cp\u003e3.10 Appendix: Proof of the Nyquist Criterion 96\u003c\/p\u003e \u003cp\u003eReferences 98\u003c\/p\u003e \u003cp\u003eHomework 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Statistical Detection and Error Probability 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 101\u003c\/p\u003e \u003cp\u003e4.2 Wide-Sense Stationary (WSS) Process 102\u003c\/p\u003e \u003cp\u003e4.3 AWGN Channel 108\u003c\/p\u003e \u003cp\u003e4.4 Detection Problem and Maximum Likelihood Detection 115\u003c\/p\u003e \u003cp\u003e4.5 Map and ML Detection with AWGN Channel 119\u003c\/p\u003e \u003cp\u003e4.6 Matched Filter (MF) 122\u003c\/p\u003e \u003cp\u003e4.7 Error Probability of Uncoded Modulations Under AWGN Model 137\u003c\/p\u003e \u003cp\u003e4.8 Summary 146\u003c\/p\u003e \u003cp\u003e4.9 Appendix: PSD of Modulated Signals 148\u003c\/p\u003e \u003cp\u003e4.10 Appendix: Baseband Noise 151\u003c\/p\u003e \u003cp\u003e4.11 Appendix: Representing Signals and Noises with Vectors 154\u003c\/p\u003e \u003cp\u003eReferences 159\u003c\/p\u003e \u003cp\u003eHomework 160\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Channel Coding 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 163\u003c\/p\u003e \u003cp\u003e5.2 Channel Coding or Forward Error Correction (FEC) 164\u003c\/p\u003e \u003cp\u003e5.3 Block Code 169\u003c\/p\u003e \u003cp\u003e5.4 Convolutional Code 182\u003c\/p\u003e \u003cp\u003e5.5 Coding for Bandwidth-Limited Channels and Trellis-Coded Modulation (TCM) 203\u003c\/p\u003e \u003cp\u003e5.6 Combined Codes 211\u003c\/p\u003e \u003cp\u003e5.7 Turbo Code 213\u003c\/p\u003e \u003cp\u003e5.8 Low-Density Parity-Check (LDPC) Code 225\u003c\/p\u003e \u003cp\u003e5.9 Summary 231\u003c\/p\u003e \u003cp\u003e5.10 Appendix: Upper Bound of Shaping Gain 233\u003c\/p\u003e \u003cp\u003e5.11 Appendix: Probability Update at Parity Node 234\u003c\/p\u003e \u003cp\u003eReferences 235\u003c\/p\u003e \u003cp\u003eHomework 238\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Channel Characteristics 241\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 241\u003c\/p\u003e \u003cp\u003e6.2 Channel Gain and Channel Classification 243\u003c\/p\u003e \u003cp\u003e6.3 Constant Flat Channels 246\u003c\/p\u003e \u003cp\u003e6.4 Flat Fading Channel 252\u003c\/p\u003e \u003cp\u003e6.5 Time Dispersion and Frequency-Selective Fading 262\u003c\/p\u003e \u003cp\u003e6.6 Channel Formulation in Frequency and Time Domains 265\u003c\/p\u003e \u003cp\u003e6.7 Channel Modeling Methods 270\u003c\/p\u003e \u003cp\u003e6.8 Link Budget Computation 273\u003c\/p\u003e \u003cp\u003e6.9 Summary 282\u003c\/p\u003e \u003cp\u003e6.10 Appendix: Channel Gain in Passband and Baseband 284\u003c\/p\u003e \u003cp\u003eReferences 286\u003c\/p\u003e \u003cp\u003eHomework 288\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Synchronization 291\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 291\u003c\/p\u003e \u003cp\u003e7.2 Synchronization Overview 293\u003c\/p\u003e \u003cp\u003e7.3 Timing Control and Correction 299\u003c\/p\u003e \u003cp\u003e7.4 Timing Error Estimate 311\u003c\/p\u003e \u003cp\u003e7.5 Initial Acquisition 325\u003c\/p\u003e \u003cp\u003e7.6 Summary 328\u003c\/p\u003e \u003cp\u003eReferences 329\u003c\/p\u003e \u003cp\u003eHomework 330\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Adaptive Filter 333\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 333\u003c\/p\u003e \u003cp\u003e8.2 Adaptive Filter Overview 335\u003c\/p\u003e \u003cp\u003e8.3 Optimal Solution 337\u003c\/p\u003e \u003cp\u003e8.4 Iterative Solution: Speediest Descent (SD) 339\u003c\/p\u003e \u003cp\u003e8.5 Sample-by-Sample Adaptation: Least Mean Squares (LMS) Algorithm 343\u003c\/p\u003e \u003cp\u003e8.6 Block-Based Adaptation: Least Squares (LS) Algorithm 347\u003c\/p\u003e \u003cp\u003e8.7 Block-Based Iteration: Recursive Least Squares (RLS) Algorithm 350\u003c\/p\u003e \u003cp\u003e8.8 Case Study: Full-Duplex Radio and Self-Interference Cancellation 355\u003c\/p\u003e \u003cp\u003e8.9 Summary 359\u003c\/p\u003e \u003cp\u003eReferences 360\u003c\/p\u003e \u003cp\u003eHomework 360\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Channel Equalization 363\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 363\u003c\/p\u003e \u003cp\u003e9.2 Channel Dispersion Formulation 365\u003c\/p\u003e \u003cp\u003e9.3 Maximum Likelihood Sequence Estimation (MLSE) 370\u003c\/p\u003e \u003cp\u003e9.4 Linear Equalizer (LE) 371\u003c\/p\u003e \u003cp\u003e9.5 Decision Feedback Equalizer (DFE) 387\u003c\/p\u003e \u003cp\u003e9.6 Tomlinson–Harashima Precoding (THP) 411\u003c\/p\u003e \u003cp\u003e9.7 Fractionally Spaced Equalizers 419\u003c\/p\u003e \u003cp\u003e9.8 Summary 420\u003c\/p\u003e \u003cp\u003e9.9 Appendix: \u003ci\u003eZ\u003c\/i\u003e-Transform and Related Results 422\u003c\/p\u003e \u003cp\u003e9.10 Appendix: Optimization of Functions with Complex Variables 431\u003c\/p\u003e \u003cp\u003e9.11 Appendix: Optimal Solution of Zero Forcing Linear Equalizer 434\u003c\/p\u003e \u003cp\u003e9.12 Appendix: Gain of an MMSE Equalizer 439\u003c\/p\u003e \u003cp\u003e9.13 Appendix: Detailed Derivation of Finite-Length DFE 440\u003c\/p\u003e \u003cp\u003eReferences 449\u003c\/p\u003e \u003cp\u003eHomework 451\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Orthogonal Frequency Division Multiplexing (OFDM) 453\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 453\u003c\/p\u003e \u003cp\u003e10.2 OFDM Formulation 455\u003c\/p\u003e \u003cp\u003e10.3 Time Domain Equalization 475\u003c\/p\u003e \u003cp\u003e10.4 OFDM Advantages and Enhancements 477\u003c\/p\u003e \u003cp\u003e10.5 Receiver Training and Adaptation 480\u003c\/p\u003e \u003cp\u003e10.6 Implementation Issues 491\u003c\/p\u003e \u003cp\u003e10.7 Orthogonal Frequency Division Multiple Access (OFDMA) 495\u003c\/p\u003e \u003cp\u003e10.8 Filter Bank Multicarrier (FBMC) Modulation 497\u003c\/p\u003e \u003cp\u003e10.9 Summary 499\u003c\/p\u003e \u003cp\u003eReferences 500\u003c\/p\u003e \u003cp\u003eHomework 504\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Multiple-Input Multiple-Output (MIMO) Technology 505\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 505\u003c\/p\u003e \u003cp\u003e11.2 MIMO Overview 506\u003c\/p\u003e \u003cp\u003e11.3 A Simple Case of Mimo: Multibeam Transmission 507\u003c\/p\u003e \u003cp\u003e11.4 Spatial Multiplexing: Bell Laboratories Layered Space-Time (BLAST) 518\u003c\/p\u003e \u003cp\u003e11.5 Spatial Diversity: Space-Time Coding 525\u003c\/p\u003e \u003cp\u003e11.6 Theoretical Treatments of MIMO Techniques 530\u003c\/p\u003e \u003cp\u003e11.7 Other Forms of MIMO 543\u003c\/p\u003e \u003cp\u003e11.8 Areas of Further Exploration 545\u003c\/p\u003e \u003cp\u003e11.9 MIMO Applications 549\u003c\/p\u003e \u003cp\u003e11.10 Summary 555\u003c\/p\u003e \u003cp\u003e11.11 Appendix: Successive Cancellation (SC) Formulation 556\u003c\/p\u003e \u003cp\u003e11.12 Appendix: Derivation of MIMO Channel Capacity for Fixed Channel 564\u003c\/p\u003e \u003cp\u003eReferences 567\u003c\/p\u003e \u003cp\u003eHomework 571\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 5G Cellular System Radio Interface Technology 573\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 573\u003c\/p\u003e \u003cp\u003e12.2 Cellular Systems 573\u003c\/p\u003e \u003cp\u003e12.3 The 5G System 578\u003c\/p\u003e \u003cp\u003e12.4 Highlights of 3GPP Proposal 579\u003c\/p\u003e \u003cp\u003e12.5 5G Physical Layer Technologies 583\u003c\/p\u003e \u003cp\u003e12.6 Summary 606\u003c\/p\u003e \u003cp\u003eReferences 607\u003c\/p\u003e \u003cp\u003eHomework 614\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Closing Remarks and Further Exploration 615\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 615\u003c\/p\u003e \u003cp\u003e13.2 Analog Circuitry 615\u003c\/p\u003e \u003cp\u003e13.3 Software-Defined Radio (SDR) 616\u003c\/p\u003e \u003cp\u003e13.4 Cognitive Radio (CR) and Dynamic Spectrum Access (DSA) 617\u003c\/p\u003e \u003cp\u003e13.5 Ultrawide Band (UWB) 620\u003c\/p\u003e \u003cp\u003e13.6 Relaying and Cooperative Communications 620\u003c\/p\u003e \u003cp\u003e13.7 Code Division Multiple Access (CDMA) 621\u003c\/p\u003e \u003cp\u003e13.8 Interference Management 622\u003c\/p\u003e \u003cp\u003e13.9 Other Modulation Schemes 623\u003c\/p\u003e \u003cp\u003e13.10 Optical Communications 623\u003c\/p\u003e \u003cp\u003e13.11 Green Communications 624\u003c\/p\u003e \u003cp\u003e13.12 Applications of Artificial Intelligence (AI) 625\u003c\/p\u003e \u003cp\u003e13.13 Application of Game Theory 625\u003c\/p\u003e \u003cp\u003e13.14 Security 625\u003c\/p\u003e \u003cp\u003e13.15 Network Coding 626\u003c\/p\u003e \u003cp\u003e13.16 Summary 628\u003c\/p\u003e \u003cp\u003eReferences 628\u003c\/p\u003e \u003cp\u003eIndex 637\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eFENG OUYANG, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is a senior member of professional staff for Wireless Technology Analysis at the Johns Hopkins University Applied Physics Laboratory and an adjunct faculty member at the John Hopkins University Whiting School of Engineering. He was previously a technical manager at Conexant Systems and a staff member at Bell Labs. He has served as TPC member and session chair for IEEE MILCOM and IEEE Globecom. He earned his Ph.D. in Applied and Engineering Physics from Cornell University.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eOffers concise, practical knowledge on modern communication systems to help students transition smoothly into the workplace and beyond\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eThis book presents the most relevant concepts and technologies of today's communication systems and presents them in a concise and intuitive manner. It covers advanced topics such as Orthogonal Frequency-Division Multiplexing (OFDM) and Multiple-Input Multiple-Output (MIMO) Technology, which are enabling technologies for modern communication systems such as WiFi (including the latest enhancements) and LTE-Advanced. \u003c\/p\u003e\u003cp\u003eFollowing a brief introduction to the field,??\u003ci\u003eDigital Communication for Practicing Engineers\u003c\/i\u003e??immerses readers in the theories and technologies that engineers deal with. It starts off with Shannon Theorem and Information Theory, before moving on to basic modules of a communication system, including modulation, statistical detection, channel coding, synchronization, and equalization. The next part of the book discusses advanced topics such as OFDM and MIMO, and introduces several emerging technologies in the context of 5G cellular system radio interface. The book closes by outlining several current research areas in digital communications. In addition, this text: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eBreaks down the subject into self-contained lectures, which can be read individually or as a whole\u003c\/li\u003e \u003cli\u003eFocuses on the pros and cons of widely used techniques, while providing references for detailed mathematical analysis\u003c\/li\u003e \u003cli\u003eTouches on content this is not usually contained in textbooks such as cyclo-stationary symbol timing recovery, adaptive self-interference canceler, and Tomlinson-Harashima precoder\u003c\/li\u003e \u003cli\u003eIncludes many illustrations, homework problems, and examples\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eDigital Communication for Practicing Engineers\u003c\/i\u003e??is an ideal guide for graduate students and professionals in digital communication looking to understand, work with, and adapt to the current and future technology.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47989064138981,"sku":"NP9781119418009","price":116.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119418009.jpg?v=1761782644","url":"https:\/\/k12savings.com\/products\/digital-communication-for-practicing-engineers-isbn-9781119418009","provider":"K12savings","version":"1.0","type":"link"}