{"product_id":"practical-signals-theory-with-matlab-applications-hardback-9781394266555","title":"Practical Signals Theory with MATLAB Applications (Hardback) 9781394266555","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003ePractical Signals Theory with MATLAB Applications\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\"\u003eRichard J. Tervo (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394266555, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 25 May 2026\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e480 pages\u003cbr\u003e21.6 x 27.4 x 3.3 cm, 1.179 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\u003e\u003cb\u003eA hands-on resource designed to teach the mathematics of signals and systems with MATLAB™\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn this newly revised second edition of \u003ci\u003ePractical Signals Theory with MATLAB™ Applications, \u003c\/i\u003eRichard Tervo delivers an articulate presentation of the mathematics underlying real world engineering applications and everyday electronic devices. The new edition provides extended coverage of communication systems—including digital and spread spectrum communications—as well as a new introductory chapter on using MATLAB™ as a tool to visualize the mathematics of signals and systems.\u003c\/p\u003e \u003cp\u003eThe text contains numerous hands-on examples and expanded end-of-chapter exercises. It is a one-stop reference for signals and systems, explaining aspects of commonplace signal types, orthogonality and signal decomposition, transformations, and the graphical presentation of calculations and results. Readers will also find:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA solid introduction to the mathematics of continuous and discrete signals represented in time and frequency domains\u003c\/li\u003e \u003cli\u003eThorough coverage of the classic Fourier, Laplace and z-transforms, and their many applications\u003c\/li\u003e \u003cli\u003eNew end-of-chapter worked exercises, a variety of in-line study questions with answers and easily reproducible MATLAB™ code demonstrations\u003c\/li\u003e \u003cli\u003eBonus material on related applications in different fields of study and a companion website designed to support additional learning\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for undergraduate and graduate students of signals and systems, signals theory, and related areas of electrical engineering, \u003ci\u003ePractical Signals Theory with MATLAB™ Applications\u003c\/i\u003e will also benefit researchers and professors in the field of system design and signal processing.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eAbout the Author xv\u003c\/p\u003e \u003cp\u003ePreface xvi\u003c\/p\u003e \u003cp\u003eAcknowledgements xxi\u003c\/p\u003e \u003cp\u003eAbout the Companion Website xxii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Practical MATLAB with Signals Theory 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Visualizing Functions 5\u003c\/p\u003e \u003cp\u003e1.3 MATLAB M-Files 9\u003c\/p\u003e \u003cp\u003e1.4 Numerical Integration 10\u003c\/p\u003e \u003cp\u003e1.5 The for Loop 12\u003c\/p\u003e \u003cp\u003e1.6 Conditional and Logical Expressions 12\u003c\/p\u003e \u003cp\u003e1.7 Piecewise Continuous Signals 13\u003c\/p\u003e \u003cp\u003e1.8 Complex Numbers in MATLAB 14\u003c\/p\u003e \u003cp\u003e1.9 Conclusions 19\u003c\/p\u003e \u003cp\u003e1.10 Worked Problems 19\u003c\/p\u003e \u003cp\u003e1.11 End of Chapter Exercises 22\u003c\/p\u003e \u003cp\u003eBibliography 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Introduction to Signals and Systems 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 25\u003c\/p\u003e \u003cp\u003e2.2 Introduction to Signal Manipulation 26\u003c\/p\u003e \u003cp\u003e2.3 Basic Signals 32\u003c\/p\u003e \u003cp\u003e2.4 The Sinusoidal Signal 40\u003c\/p\u003e \u003cp\u003e2.5 Conclusions 44\u003c\/p\u003e \u003cp\u003e2.6 Worked Problems 45\u003c\/p\u003e \u003cp\u003e2.7 End of Chapter Exercises 47\u003c\/p\u003e \u003cp\u003eBibliography 51\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Classification of Signals 53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 53\u003c\/p\u003e \u003cp\u003e3.2 Odd and Even Signals 53\u003c\/p\u003e \u003cp\u003e3.3 Periodic Signals 56\u003c\/p\u003e \u003cp\u003e3.4 Energy and Power Signals 64\u003c\/p\u003e \u003cp\u003e3.5 Complex Signals 69\u003c\/p\u003e \u003cp\u003e3.6 Discrete Time Signals 71\u003c\/p\u003e \u003cp\u003e3.7 Random Signals 72\u003c\/p\u003e \u003cp\u003e3.8 Conclusions 73\u003c\/p\u003e \u003cp\u003e3.9 Worked Problems 74\u003c\/p\u003e \u003cp\u003e3.10 End of Chapter Exercises 76\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Linear Systems 83\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 83\u003c\/p\u003e \u003cp\u003e4.2 Definition of a Linear System 83\u003c\/p\u003e \u003cp\u003e4.3 LTI System Response Function h(t) 88\u003c\/p\u003e \u003cp\u003e4.4 Convolution 88\u003c\/p\u003e \u003cp\u003e4.5 Determining h(t) in an Unknown System 98\u003c\/p\u003e \u003cp\u003e4.6 Causality 101\u003c\/p\u003e \u003cp\u003e4.7 Combined Systems 102\u003c\/p\u003e \u003cp\u003e4.8 Convolution and Random Numbers 103\u003c\/p\u003e \u003cp\u003e4.9 Useful Hints and Help with MATLAB 105\u003c\/p\u003e \u003cp\u003e4.10 Chapter Summary 106\u003c\/p\u003e \u003cp\u003e4.11 Conclusions 106\u003c\/p\u003e \u003cp\u003e4.12 Worked Problems 106\u003c\/p\u003e \u003cp\u003e4.13 End of Chapter Exercises 109\u003c\/p\u003e \u003cp\u003eBibliography 113\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 The Fourier Series\u003c\/b\u003e \u003cb\u003e115\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 115\u003c\/p\u003e \u003cp\u003e5.2 Expressing Signals by Components 116\u003c\/p\u003e \u003cp\u003e5.3 Part One – Orthogonal Signals 119\u003c\/p\u003e \u003cp\u003e5.4 Orthogonality 120\u003c\/p\u003e \u003cp\u003e5.5 Part Two – The Fourier Series 127\u003c\/p\u003e \u003cp\u003e5.6 Computing Fourier Series Components 132\u003c\/p\u003e \u003cp\u003e5.7 Odd and Even Square Waves 136\u003c\/p\u003e \u003cp\u003e5.8 Gibb’s Phenomenon 138\u003c\/p\u003e \u003cp\u003e5.9 Setting-Up the Fourier Series Calculation 141\u003c\/p\u003e \u003cp\u003e5.10 Some Common Fourier Series 143\u003c\/p\u003e \u003cp\u003e5.11 Practical Harmonics 144\u003c\/p\u003e \u003cp\u003e5.12 Part Three: The Complex Fourier Series 145\u003c\/p\u003e \u003cp\u003e5.13 The Complex Fourier Series 147\u003c\/p\u003e \u003cp\u003e5.14 Complex Fourier Series Components 151\u003c\/p\u003e \u003cp\u003e5.15 Properties of the Complex Fourier Series 158\u003c\/p\u003e \u003cp\u003e5.16 Analysis of a DC Power Supply 158\u003c\/p\u003e \u003cp\u003e5.17 The Fourier Series with MATLAB 163\u003c\/p\u003e \u003cp\u003e5.18 Conclusions 169\u003c\/p\u003e \u003cp\u003e5.19 Worked Problems 169\u003c\/p\u003e \u003cp\u003e5.20 End of Chapter Exercises 172\u003c\/p\u003e \u003cp\u003eBibliography 177\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 The Fourier Transform 179\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 179\u003c\/p\u003e \u003cp\u003e6.2 Properties of the Fourier Transform 185\u003c\/p\u003e \u003cp\u003e6.3 The Rectangle Signal 188\u003c\/p\u003e \u003cp\u003e6.4 The Sinc Function 189\u003c\/p\u003e \u003cp\u003e6.5 Signal Manipulations: Time and Frequency 194\u003c\/p\u003e \u003cp\u003e6.6 Fourier Transform Pairs 202\u003c\/p\u003e \u003cp\u003e6.7 Rapid Changes vs. High Frequencies 203\u003c\/p\u003e \u003cp\u003e6.8 Conclusions 206\u003c\/p\u003e \u003cp\u003e6.9 Worked Problems 206\u003c\/p\u003e \u003cp\u003e6.10 End of Chapter Exercises 207\u003c\/p\u003e \u003cp\u003eBibliography 211\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Practical Fourier Transforms\u003c\/b\u003e \u003cb\u003e213\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 213\u003c\/p\u003e \u003cp\u003e7.2 Convolution: Time and Frequency 213\u003c\/p\u003e \u003cp\u003e7.3 Transfer Function of a Linear System 217\u003c\/p\u003e \u003cp\u003e7.4 Energy in Signals: Parseval’s Theorem for the Fourier Transform 219\u003c\/p\u003e \u003cp\u003e7.5 Data Smoothing and the Frequency Domain 220\u003c\/p\u003e \u003cp\u003e7.6 Ideal Filters 221\u003c\/p\u003e \u003cp\u003e7.7 A Real Low-Pass Filter 225\u003c\/p\u003e \u003cp\u003e7.8 The Modulation Theorem 230\u003c\/p\u003e \u003cp\u003e7.9 Periodic Signals and the Fourier Transform 234\u003c\/p\u003e \u003cp\u003e7.10 The Analog Spectrum Analyzer 237\u003c\/p\u003e \u003cp\u003e7.11 Conclusions 237\u003c\/p\u003e \u003cp\u003e7.12 Worked Problems 238\u003c\/p\u003e \u003cp\u003e7.13 End of Chapter Exercises 240\u003c\/p\u003e \u003cp\u003eBibliography 246\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 The Laplace Transform 247\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 247\u003c\/p\u003e \u003cp\u003e8.2 The Laplace Transform 248\u003c\/p\u003e \u003cp\u003e8.3 Exploring the s-Domain 250\u003c\/p\u003e \u003cp\u003e8.4 Visualizing the Laplace Transform 257\u003c\/p\u003e \u003cp\u003e8.5 Properties of the Laplace Transform 270\u003c\/p\u003e \u003cp\u003e8.6 Differential Equations 271\u003c\/p\u003e \u003cp\u003e8.7 Laplace Transform Pairs 273\u003c\/p\u003e \u003cp\u003e8.8 Circuit Analysis with the Laplace Transform 275\u003c\/p\u003e \u003cp\u003e8.9 State Variable Analysis 285\u003c\/p\u003e \u003cp\u003e8.10 Conclusions 294\u003c\/p\u003e \u003cp\u003e8.11 Worked Problems 294\u003c\/p\u003e \u003cp\u003e8.12 End of Chapter Exercises 297\u003c\/p\u003e \u003cp\u003eBibliography 303\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Discrete Signals\u003c\/b\u003e \u003cb\u003e305\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 305\u003c\/p\u003e \u003cp\u003e9.2 Discrete Time vs. Continuous Time Signals 305\u003c\/p\u003e \u003cp\u003e9.3 A Discrete Time Signal 306\u003c\/p\u003e \u003cp\u003e9.4 Data Collection and Sampling Rate 308\u003c\/p\u003e \u003cp\u003e9.5 Introduction to Digital Filtering 320\u003c\/p\u003e \u003cp\u003e9.6 Illustrative Examples 328\u003c\/p\u003e \u003cp\u003e9.7 Filtering Application with MATLAB 336\u003c\/p\u003e \u003cp\u003e9.8 Conclusions 339\u003c\/p\u003e \u003cp\u003e9.9 Worked Problems 339\u003c\/p\u003e \u003cp\u003e9.10 End of Chapter Exercises 343\u003c\/p\u003e \u003cp\u003eBibliography 347\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 The z-Transform 349\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 349\u003c\/p\u003e \u003cp\u003e10.2 The z-Transform 349\u003c\/p\u003e \u003cp\u003e10.3 Calculating the z-Transform 352\u003c\/p\u003e \u003cp\u003e10.4 A Discrete Time Laplace Transform 359\u003c\/p\u003e \u003cp\u003e10.5 Properties of the z-Transform 360\u003c\/p\u003e \u003cp\u003e10.6 z-Transform Pairs 361\u003c\/p\u003e \u003cp\u003e10.7 Transfer Function of a Discrete Linear System 361\u003c\/p\u003e \u003cp\u003e10.8 MATLAB Analysis with the z-Transform 362\u003c\/p\u003e \u003cp\u003e10.9 Digital Filtering – FIR Filter 367\u003c\/p\u003e \u003cp\u003e10.10 Digital Filtering – IIR Filter 373\u003c\/p\u003e \u003cp\u003e10.11 Conclusions 377\u003c\/p\u003e \u003cp\u003e10.12 Worked Problems 377\u003c\/p\u003e \u003cp\u003e10.13 End of Chapter Exercises 378\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Communication Systems 383\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 383\u003c\/p\u003e \u003cp\u003e11.2 Amplitude Modulation 386\u003c\/p\u003e \u003cp\u003e11.3 Suppressed Carrier Transmission 394\u003c\/p\u003e \u003cp\u003e11.4 Superheterodyne Receiver 396\u003c\/p\u003e \u003cp\u003e11.5 Digital Communications 400\u003c\/p\u003e \u003cp\u003e11.6 Phase Shift Keying 404\u003c\/p\u003e \u003cp\u003e11.7 Spread Spectrum Systems 407\u003c\/p\u003e \u003cp\u003e11.8 Conclusions 416\u003c\/p\u003e \u003cp\u003e11.9 Worked Problems 417\u003c\/p\u003e \u003cp\u003e11.10 End of Chapter Exercises 418\u003c\/p\u003e \u003cp\u003eBibliography 420\u003c\/p\u003e \u003cp\u003eA Reference Tables 421\u003c\/p\u003e \u003cp\u003eB The Illustrated Fourier Transform 425\u003c\/p\u003e \u003cp\u003eC The Illustrated Laplace Transform 433\u003c\/p\u003e \u003cp\u003eD The Illustrated z-Transform 439\u003c\/p\u003e \u003cp\u003eE MATLAB Reference Guide 445\u003c\/p\u003e \u003cp\u003eIndex 453\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","offers":[{"title":"Brand New","offer_id":52433238556952,"sku":"9781394266555","price":85.79,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394266555.jpg?v=1784852647","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/practical-signals-theory-with-matlab-applications-hardback-9781394266555","provider":"Freshly Printed Books","version":"1.0","type":"link"}