{"product_id":"problem-based-learning-in-communication-systems-using-matlab-and-simulink-hardback-9781119060345","title":"Problem-Based Learning in Communication Systems Using MATLAB and Simulink (Hardback) 9781119060345","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eProblem-Based Learning in Communication Systems Using MATLAB and Simulink\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eKwonhue Choi (Author), Huaping Liu (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119060345, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 15 April 2016\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e400 pages\u003cbr\u003e23.6 x 16 x 3 cm, 0.803 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eDesigned to help teach and understand communication systems using a classroom-tested, active learning approach.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eDiscusses communication concepts and algorithms, which are explained using simulation projects, accompanied by MATLAB and Simulink\u003c\/li\u003e \u003cli\u003eProvides step-by-step code exercises and instructions to implement execution sequences\u003c\/li\u003e \u003cli\u003eIncludes a companion website that has MATLAB and Simulink model samples and templates (password: matlab) \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003eAcknowledgments xvii\u003c\/p\u003e \u003cp\u003eNotation and List of Symbols xix\u003c\/p\u003e \u003cp\u003eList of Acronyms xxi\u003c\/p\u003e \u003cp\u003eContent-Mapping Table with Major Existing Textbooks xxiii\u003c\/p\u003e \u003cp\u003eLab Class Assignment Guide xxv\u003c\/p\u003e \u003cp\u003eAbout the Companion Website xxvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 MATLAB and Simulink Basics 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Operating on Variables and Plotting Graphs in MATLAB 1\u003c\/p\u003e \u003cp\u003e1.2 Using Symbolic Math 3\u003c\/p\u003e \u003cp\u003e1.3 Creating and Using a Script File (m-File) 4\u003c\/p\u003e \u003cp\u003e1.4\u003csup\u003e [A]\u003c\/sup\u003eUser-Defined MATLAB Function 7\u003c\/p\u003e \u003cp\u003e1.5 Designing a Simple Simulink File 8\u003c\/p\u003e \u003cp\u003e1.6 Creating a Subsystem Block 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Numerical Integration and Orthogonal Expansion 16\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Simple Numerical Integration 16\u003c\/p\u003e \u003cp\u003e2.2 Orthogonal Expansion 18\u003c\/p\u003e \u003cp\u003eReferences 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Fourier Series and Frequency Transfer Function 24\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Designing the Extended Fourier Series System 24\u003c\/p\u003e \u003cp\u003e3.2 Frequency Transfer Function of Linear Systems 25\u003c\/p\u003e \u003cp\u003e3.3 Verification of the Frequency Transfer Function of Linear Systems in Simulink 27\u003c\/p\u003e \u003cp\u003e3.4 Steady-State Response of a Linear Filter to a Periodic Input Signal 29\u003c\/p\u003e \u003cp\u003eReferences 31\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Fourier Transform 33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 The Spectrum of Sinusoidal Signals 33\u003c\/p\u003e \u003cp\u003e4.2 The Spectrum of Any General Periodic Functions 36\u003c\/p\u003e \u003cp\u003e4.3 Analysis and Test of the Spectra of Periodic Functions 37\u003c\/p\u003e \u003cp\u003e4.4 Spectrum of a Nonperiodic Audio Signal 40\u003c\/p\u003e \u003cp\u003eReferences 44\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Convolution 45\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Sampled Time-Limited Functions 45\u003c\/p\u003e \u003cp\u003e5.2 Time-Domain View of Convolution 48\u003c\/p\u003e \u003cp\u003e5.3 Convolution with the Impulse Function 50\u003c\/p\u003e \u003cp\u003e5.4 Frequency-Domain View of Convolution 51\u003c\/p\u003e \u003cp\u003eReference 54\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Low Pass Filter and Band Pass Filter Design 55\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1\u003csup\u003e [T]\u003c\/sup\u003eAnalysis of the Spectrum of Sample Audio Signals 55\u003c\/p\u003e \u003cp\u003e6.2 Low Pass Filter Design 57\u003c\/p\u003e \u003cp\u003e6.3 LPF Operation 61\u003c\/p\u003e \u003cp\u003e6.4 \u003csup\u003e[A]\u003c\/sup\u003eBand Pass Filter Design 63\u003c\/p\u003e \u003cp\u003eReference 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Sampling and Reconstruction 66\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Customizing the Analog Filter Design Block to Design an LPF 66\u003c\/p\u003e \u003cp\u003e7.2 Storing and Playing Sound Data 67\u003c\/p\u003e \u003cp\u003e7.3 Sampling and Signal Reconstruction Systems 68\u003c\/p\u003e \u003cp\u003e7.4 Frequency Up-Conversion without Resorting to Mixing with a Sinusoid 75\u003c\/p\u003e \u003cp\u003eReferences 77\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Correlation and Spectral Density 78\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Generation of Pulse Signals 78\u003c\/p\u003e \u003cp\u003e8.2 Correlation Function 79\u003c\/p\u003e \u003cp\u003e8.3 Energy Spectral Density 87\u003c\/p\u003e \u003cp\u003eReferences 89\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Amplitude Modulation 90\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Modulation and Demodulation of Double Sideband-Suppressed Carrier Signals 90\u003c\/p\u003e \u003cp\u003e9.2 Effects of the Local Carrier Phase and Frequency Errors on Demodulation Performance 95\u003c\/p\u003e \u003cp\u003e9.3 \u003csup\u003e[A]\u003c\/sup\u003eDesign of an AM Transmitter and Receiver without Using an Oscillator to Generate the Sinusoidal Signal 98\u003c\/p\u003e \u003cp\u003eReference 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Quadrature Multiplexing and Frequency Division Multiplexing 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Quadrature Multiplexing and Frequency Division Multiplexing Signals and Their Spectra 101\u003c\/p\u003e \u003cp\u003e10.2 Demodulator Design 104\u003c\/p\u003e \u003cp\u003e10.3 Effects of Phase and Frequency Errors in QM Systems 105\u003c\/p\u003e \u003cp\u003eReference 108\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Hilbert Transform, Analytic Signal, and SSB Modulation 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Hilbert Transform, Analytic Signal, and Single-Side Band Modulation 109\u003c\/p\u003e \u003cp\u003e11.2 Generation of Analytic Signals Using the Hilbert Transform 111\u003c\/p\u003e \u003cp\u003e11.3 Generation and Spectra of Analytic and Single-Side Band Modulated Signals 114\u003c\/p\u003e \u003cp\u003e11.4 Implementation of an SSB Modulation and Demodulation System Using a Band Pass Filter 117\u003c\/p\u003e \u003cp\u003eReferences 122\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Voltage-Controlled Oscillator and Frequency Modulation 123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 \u003csup\u003e[A]\u003c\/sup\u003eImpact of Signal Clipping in Amplitude Modulation Systems 123\u003c\/p\u003e \u003cp\u003e12.2 Operation of the Voltage-Controlled Oscillator and Its Use in an FM Transmitter 126\u003c\/p\u003e \u003cp\u003e12.3 Implementation of Narrowband FM 130\u003c\/p\u003e \u003cp\u003eReferences 134\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Phase-Locked Loop and Synchronization 135\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Phase-Locked Loop Design 135\u003c\/p\u003e \u003cp\u003e13.2 FM Receiver Design Using the PLL 142\u003c\/p\u003e \u003cp\u003e13.3 \u003csup\u003e[A]\u003c\/sup\u003eData Transmission from a Mobile Phone to a PC over the Near-Ultrasonic Wireless Channel 146\u003c\/p\u003e \u003cp\u003eReferences 150\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Probability and Random Variables 151\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Empirical Probability Density Function of Uniform Random Variables 151\u003c\/p\u003e \u003cp\u003e14.2 Theoretical PDF of Gaussian Random Variables 152\u003c\/p\u003e \u003cp\u003e14.3 Empirical PDF of Gaussian RVs 153\u003c\/p\u003e \u003cp\u003e14.4 Generating Gaussian RVs with Any Mean and Variance 155\u003c\/p\u003e \u003cp\u003e14.5 Verifying the Mean and Variance of the RV Represented by MATLAB Function randn() 155\u003c\/p\u003e \u003cp\u003e14.6 Calculation of Mean and Variance Using Numerical Integration 156\u003c\/p\u003e \u003cp\u003e14.7 \u003csup\u003e[A]\u003c\/sup\u003eRayleigh Distribution 158\u003c\/p\u003e \u003cp\u003eReferences 159\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Random Signals 160\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Integration of Gaussian Distribution and the Q-Function 160\u003c\/p\u003e \u003cp\u003e15.2 Properties of Independent Random Variables and Characteristics of Gaussian Variables 162\u003c\/p\u003e \u003cp\u003e15.3 Central Limit Theory 165\u003c\/p\u003e \u003cp\u003e15.4 Gaussian Random Process and Autocorrelation Function 168\u003c\/p\u003e \u003cp\u003eReferences 173\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Maximum Likelihood Detection for Binary Transmission 174\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 Likelihood Function and Maximum Likelihood Detection over an Additive White Gaussian Noise Channel 174\u003c\/p\u003e \u003cp\u003e16.2 BER Simulation of Binary Communications over an AWGN Channel 178\u003c\/p\u003e \u003cp\u003e16.3 \u003csup\u003e[A]\u003c\/sup\u003eML Detection in Non-Gaussian Noise Environments 182\u003c\/p\u003e \u003cp\u003eReferences 183\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Signal Vector Space and Maximum Likelihood Detection I 184\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e17.1\u003csup\u003e [T]\u003c\/sup\u003eOrthogonal Signal Set 184\u003c\/p\u003e \u003cp\u003e17.2\u003csup\u003e [T]\u003c\/sup\u003eMaximum Likelihood Detection in the Vector Space 185\u003c\/p\u003e \u003cp\u003e17.3 MATLAB Coding for MLD in the Vector Space 187\u003c\/p\u003e \u003cp\u003e17.4 MLD in the Waveform Domain 189\u003c\/p\u003e \u003cp\u003eReferences 191\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Signal Vector Space and Maximum Likelihood Detection II 192\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e18.1 Analyzing How the Received Signal Samples are Generated 192\u003c\/p\u003e \u003cp\u003e18.2 Observing the Waveforms of 4-Ary Symbols and the Received Signal 195\u003c\/p\u003e \u003cp\u003e18.3 Maximum Likelihood Detection in the Vector Space 196\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Correlator-Based Maximum Likelihood Detection 200\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19.1 Statistical Characteristics of Additive White Gaussian Noise in the Vector Space 200\u003c\/p\u003e \u003cp\u003e19.2 Correlation-Based Maximum Likelihood Detection 205\u003c\/p\u003e \u003cp\u003eReference 208\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Pulse Shaping and Matched Filter 209\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e20.1\u003csup\u003e [T]\u003c\/sup\u003eRaised Cosine Pulses 209\u003c\/p\u003e \u003cp\u003e20.2 Pulse Shaping and Eye Diagram 210\u003c\/p\u003e \u003cp\u003e20.3 Eye Diagram after Matched Filtering 216\u003c\/p\u003e \u003cp\u003e20.4 Generating an Actual Electric Signal and Viewing the Eye Diagram in an Oscilloscope 218\u003c\/p\u003e \u003cp\u003eReferences 223\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 BER Simulation at the Waveform Level 224\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e21.1 \u003ci\u003eE\u003csub\u003eB\u003c\/sub\u003e\/N\u003c\/i\u003e\u003csub\u003e0 \u003c\/sub\u003eSetting in Baseband BPSK Simulation 224\u003c\/p\u003e \u003cp\u003e21.2 Matched Filter and Decision Variables 228\u003c\/p\u003e \u003cp\u003e21.3 Completing the Loop for BER Simulation 230\u003c\/p\u003e \u003cp\u003e21.4 \u003csup\u003e[A]\u003c\/sup\u003eEffects of the Roll-off Factor on BER Performance When There is a Symbol Timing Error 234\u003c\/p\u003e \u003cp\u003e21.5 Passband BPSK BER Simulation and Effects of Carrier Phase Errors 235\u003c\/p\u003e \u003cp\u003eReference 238\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22 QPSK and Offset QPSK in Simulink 239\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e22.1 Characteristics of QPSK Signals 239\u003c\/p\u003e \u003cp\u003e22.2 Implementation of the QPSK Transmitter 241\u003c\/p\u003e \u003cp\u003e22.3 Implementation of the QPSK Receiver 243\u003c\/p\u003e \u003cp\u003e22.4 SNR Setting, Constellation Diagram, and Phase Error 245\u003c\/p\u003e \u003cp\u003e22.5 BER Simulation in Simulink Using a Built-in Function sim( ) 247\u003c\/p\u003e \u003cp\u003e22.6 Pulse Shaping and Instantaneous Signal Amplitude 249\u003c\/p\u003e \u003cp\u003e22.7 Offset QPSK 252\u003c\/p\u003e \u003cp\u003eReferences 253\u003c\/p\u003e \u003cp\u003e\u003cb\u003e23 Quadrature Amplitude Modulation in Simulink 254\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e23.1 Checking the Bit Mapping of Simulink QAM Modulator 254\u003c\/p\u003e \u003cp\u003e23.2 Received QAM Signal in AWGN 258\u003c\/p\u003e \u003cp\u003e23.3 Design of QAM Demodulator 260\u003c\/p\u003e \u003cp\u003e23.4 BER Simulation 262\u003c\/p\u003e \u003cp\u003e23.5 Observing QAM Signal Trajectory Using an Oscilloscope 266\u003c\/p\u003e \u003cp\u003eReferences 268\u003c\/p\u003e \u003cp\u003e\u003cb\u003e24 Convolutional Code 269\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e24.1 Encoding Algorithm 269\u003c\/p\u003e \u003cp\u003e24.2 Implementation of Maximum Likelihood Decoding Based on Exhaustive Search 273\u003c\/p\u003e \u003cp\u003e24.3 Viterbi Decoding (Trellis-Based ML Decoding) 277\u003c\/p\u003e \u003cp\u003e24.4 BER Simulation of Coded Systems 284\u003c\/p\u003e \u003cp\u003eReferences 287\u003c\/p\u003e \u003cp\u003e\u003cb\u003e25 Fading Diversity and Combining 289\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e25.1 Rayleigh Fading Channel Model and the Average BER 289\u003c\/p\u003e \u003cp\u003e25.2 BER Simulation in the Rayleigh Fading Environment 292\u003c\/p\u003e \u003cp\u003e25.3 Diversity 295\u003c\/p\u003e \u003cp\u003e25.4 Combining Methods 296\u003c\/p\u003e \u003cp\u003eReferences 300\u003c\/p\u003e \u003cp\u003e\u003cb\u003e26 Orthogonal Frequency Division Multiplexing in AWGN Channels 302\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e26.1 Orthogonal Complex Sinusoid 302\u003c\/p\u003e \u003cp\u003e26.2 Generation of Orthogonal Frequency Division Multiplexing Signals 303\u003c\/p\u003e \u003cp\u003e26.3 Bandwidth Efficiency of OFDM Signals 306\u003c\/p\u003e \u003cp\u003e26.4 Demodulation of OFDM Signals 307\u003c\/p\u003e \u003cp\u003e26.5 BER Simulation of OFDM Systems 307\u003c\/p\u003e \u003cp\u003eReferences 310\u003c\/p\u003e \u003cp\u003e\u003cb\u003e27 Orthogonal Frequency Division Multiplexing over Multipath Fading Channels 311\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e27.1 Multipath Fading Channels 311\u003c\/p\u003e \u003cp\u003e27.2 Guard Interval, CP, and Channel Estimation 314\u003c\/p\u003e \u003cp\u003e27.3 BER Simulation of OFDM Systems over Multipath Fading Channels 319\u003c\/p\u003e \u003cp\u003eReferences 323\u003c\/p\u003e \u003cp\u003e\u003cb\u003e28 MIMO System—Part I: Space Time Code 324\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e28.1 System Model 324\u003c\/p\u003e \u003cp\u003e28.2 Alamouti Code 327\u003c\/p\u003e \u003cp\u003e28.3 Simple Detection of Alamouti Code 330\u003c\/p\u003e \u003cp\u003e28.4 \u003csup\u003e[A]\u003c\/sup\u003eVarious STBCs, Their Diversity Orders, and Their Rates 334\u003c\/p\u003e \u003cp\u003eReferences 335\u003c\/p\u003e \u003cp\u003e\u003cb\u003e29 MIMO System—Part II: Spatial Multiplexing 336\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e29.1 MIMO for Spatial Multiplexing 336\u003c\/p\u003e \u003cp\u003e29.2 MLD Based on Exhaustive Search for SM MIMO 337\u003c\/p\u003e \u003cp\u003e29.3 Zero Forcing Detection 340\u003c\/p\u003e \u003cp\u003e29.4 Noise Enhancement of ZF Detection 341\u003c\/p\u003e \u003cp\u003e29.5 Successive Interference Cancellation Detection 343\u003c\/p\u003e \u003cp\u003e29.6 BER Simulation of ZF, SIC, OSIC, and ML Detection Schemes 347\u003c\/p\u003e \u003cp\u003e29.7 Relationship among the Number of Antennas Diversity and Data Rate 350\u003c\/p\u003e \u003cp\u003eReferences 352\u003c\/p\u003e \u003cp\u003e\u003cb\u003e30 Near-Ultrasonic Wireless Orthogonal Frequency Division Multiplexing Modem Design 353\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e30.1 Image File Transmission over a Near-Ultrasonic Wireless Channel 353\u003c\/p\u003e \u003cp\u003e30.2 Analysis of OFDM Transmitter Algorithms and the Transmitted Signals 355\u003c\/p\u003e \u003cp\u003e30.3 Analysis of OFDM Receiver Algorithms and the Received Signals 357\u003c\/p\u003e \u003cp\u003e30.4 Effects of System Parameters on the Performance 361\u003c\/p\u003e \u003cp\u003eIndex 363\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Brand New","offer_id":52421395743000,"sku":"9781119060345","price":86.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119060345.jpg?v=1784594948","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/problem-based-learning-in-communication-systems-using-matlab-and-simulink-hardback-9781119060345","provider":"Freshly Printed Books","version":"1.0","type":"link"}