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Signals and Systems: A Primer with MATLAB® [Kõva köide]

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(Prairie View A&M University, Texas, USA),
  • Formaat: Hardback, 421 pages, kõrgus x laius: 234x156 mm, kaal: 740 g, 27 Tables, black and white; 291 Illustrations, color
  • Ilmumisaeg: 01-Oct-2015
  • Kirjastus: CRC Press Inc
  • ISBN-10: 1482261510
  • ISBN-13: 9781482261516
Teised raamatud teemal:
Signals and Systems: A Primer with MATLAB®Suurem pilt
  • Formaat: Hardback, 421 pages, kõrgus x laius: 234x156 mm, kaal: 740 g, 27 Tables, black and white; 291 Illustrations, color
  • Ilmumisaeg: 01-Oct-2015
  • Kirjastus: CRC Press Inc
  • ISBN-10: 1482261510
  • ISBN-13: 9781482261516
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781482261516.html
Märksõnad:
Signals and Systems: A Primer with MATLAB® provides clear, interesting, and easy-to-understand coverage of continuous-time and discrete-time signals and systems. Each chapter opens with a historical profile or career talk, followed by an introduction that states the chapter objectives and links the chapter to the previous ones. All principles are presented in a lucid, logical, step-by-step approach. As much as possible, the authors avoid wordiness and detail overload that could hide concepts and impede understanding.

In recognition of the requirements by the Accreditation Board for Engineering and Technology (ABET) on integrating computer tools, the use of MATLAB® is encouraged in a student-friendly manner. MATLAB is introduced in Appendix B and applied gradually throughout the book.

Each illustrative example is immediately followed by a practice problem along with its answer. Students can follow the example step by step to solve the practice problem without flipping pages or looking at the end of the book for answers. These practice problems test students comprehension and reinforce key concepts before moving on to the next section.

Toward the end of each chapter, the authors discuss some application aspects of the concepts covered in the chapter. The material covered in the chapter is applied to at least one or two practical problems or devices. This helps students see how the concepts are applied to real-life situations.

In addition, thoroughly worked examples are given liberally at the end of every section. These examples give students a solid grasp of the solutions as well as the confidence to solve similar problems themselves. Some of the problems are solved in two or three ways to facilitate a deeper understanding and comparison of different approaches.

Ten review questions in the form of multiple-choice objective items are provided at the end of each chapter with answers. The review questions are intended to cover the "little tricks" that the examples and end-of-chapter problems may not cover. They serve as a self-test device and help students determine chapter mastery. Each chapter also ends with a summary of key points and formulas.

Designed for a three-hour semester course on signals and systems, Signals and Systems: A Primer with MATLAB® is intended as a textbook for junior-level undergraduate students in electrical and computer engineering. The prerequisites for a course based on this book are knowledge of standard mathematics (including calculus and differential equations) and electric circuit analysis.

Arvustused

"This book follows an approach based on the right balance between theory and practice, which is recommended to catch the attention of students who might be discouraged at first with the subject if they do not foresee its possible applications. The book also stablishes links between the subject and related issues from other disciplines, which work out as an interesting introduction to each chapter. Most importantly, even though the title suggests that MATLAB® will have the largest share in the material, each chapter makes sure that the theoretical background is well known before turning to hands-on MATLAB examples. This is not just a recipe book; it is a well-balanced textbook." Alexandre Giulietti, Vision Systems Engineer, e2v, Seville, Spain

"Actually, the book includes what I exactly cover in a one-semester signals and systems course (EM 301). ... It also includes MATLAB sections, ... [ which are] good and helpful for students. ... I [ appreciate] ... its simplicity in describing complex concepts." Ozgul Salor, Gazi University, Ankara, Turkey

Preface xiii
Acknowledgments xv
Authors xvii
Chapter 1 Basic Concepts 1(62)
Global Positioning System
1(1)
1.1 Introduction
2(1)
1.2 Basic Definitions
2(1)
1.3 Classifications of Signals
3(10)
1.3.1 Continuous-Time and Discrete-Time Signals
3(2)
1.3.2 Periodic and Nonperiodic Signals
5(1)
1.3.3 Analog and Digital Signals
6(1)
1.3.4 Energy and Power Signals
7(1)
1.3.5 Even and Odd Symmetry
8(5)
1.4 Basic Continuous-Time Signals
13(12)
1.4.1 Unit Step Function
13(1)
1.4.2 Unit Impulse Function
14(3)
1.4.3 Unit Ramp Function
17(1)
1.4.4 Rectangular Pulse Function
18(1)
1.4.5 Triangular Pulse Function
19(1)
1.4.6 Sinusoidal Signal
19(1)
1.4.7 Exponential Signal
20(5)
1.5 Basic Discrete-Time Signals
25(5)
1.5.1 Unit Step Sequence
25(1)
1.5.2 Unit Impulse Sequence
25(1)
1.5.3 Unit Ramp Sequence
26(1)
1.5.4 Sinusoidal Sequence
27(1)
1.5.5 Exponential Sequence
28(2)
1.6 Basic Operations on Signals
30(6)
1.6.1 Time Reversal
30(1)
1.6.2 Time Scaling
31(1)
1.6.3 Time Shifting
31(1)
1.6.4 Amplitude Transformations
32(4)
1.7 Classifications of Systems
36(7)
1.7.1 Continuous-Time and Discrete-Time Systems
37(1)
1.7.2 Causal and Noncausal Systems
37(2)
1.7.3 Linear and Nonlinear Systems
39(1)
1.7.4 Time-Varying and Time-Invariant Systems
40(1)
1.7.5 Systems with and without Memory
41(2)
1.8 Applications
43(2)
1.8.1 Electric Circuit
43(1)
1.8.2 Square-Law Device
44(1)
1.8.3 DSP System
44(1)
1.9 Computing with MATLAB®
45(5)
1.10 Summary
50(1)
Review Questions
51(1)
Problems
52(11)
Chapter 2 Convolution 63(42)
Enhancing Your Communication Skills
63(1)
2.1 Introduction
64(1)
2.2 Impulse Response
64(1)
2.3 Convolution Integral
65(5)
2.4 Graphical Convolution
70(6)
2.5 Block Diagram Representation
76(2)
2.6 Discrete-Time Convolution
78(7)
2.7 Block Diagram Realization
85(1)
2.8 Deconvolution
85(3)
2.9 Computing with MATLAB®
88(3)
2.10 Applications
91(4)
2.10.1 BIBO Stability of Continuous-Time Systems
91(1)
2.10.2 BIBO Stability of Discrete-Time Systems
92(1)
2.10.3 Circuit Analysis
93(2)
2.11 Summary
95(1)
Review Questions
96(1)
Problems
97(8)
Chapter 3 The Laplace Transform 105(66)
Historical Profile
105(1)
3.1 Introduction
106(1)
3.2 Definition of the Laplace Transform
106(4)
3.3 Properties of the Laplace Transform
110(16)
3.3.1 Linearity
110(1)
3.3.2 Scaling
111(1)
3.3.3 Time Shifting
112(1)
3.3.4 Frequency Shifting
113(1)
3.3.5 Time Differentiation
113(1)
3.3.6 Time Convolution
114(1)
3.3.7 Time Integration
115(1)
3.3.8 Frequency Differentiation
116(1)
3.3.9 Time Periodicity
117(1)
3.3.10 Modulation
118(1)
3.3.11 Initial and Final Values
119(7)
3.4 The Inverse Laplace Transform
126(12)
3.4.1 Simple Poles
127(1)
3.4.2 Repeated Poles
128(1)
3.4.3 Complex Poles
129(9)
3.5 Transfer Function
138(5)
3.6 Applications
143(9)
3.6.1 Integro-Differential Equations
143(2)
3.6.2 Circuit Analysis
145(5)
3.6.3 Control Systems
150(2)
3.7 Computing with MATLAB®
152(5)
3.8 Summary
157(1)
Review Questions
158(1)
Problems
159(12)
Chapter 4 Fourier Series 171(50)
Historical Profile
171(1)
4.1 Introduction
172(1)
4.2 Trigonometric Fourier Series
172(9)
4.3 Exponential Fourier Series
181(7)
4.4 Properties of Fourier Series
188(8)
4.4.1 Linearity
188(1)
4.4.2 Time Shifting
189(1)
4.4.3 Time Reversal
189(1)
4.4.4 Time Scaling
190(1)
4.4.5 Even and Odd Symmetries
190(2)
4.4.6 Parseval's Theorem
192(4)
4.5 Truncated Complex Fourier Series
196(1)
4.6 Applications
197(7)
4.6.1 Circuit Analysis
197(3)
4.6.2 Spectrum Analyzers
200(1)
4.6.3 Filters
200(4)
4.7 Computing with MATLAB®
204(4)
4.8 Summary
208(2)
Review Questions
210(1)
Problems
211(10)
Chapter 5 Fourier Transform 221(50)
Career in Control Systems
221(1)
5.1 Introduction
222(1)
5.2 Definition of the Fourier Transform
222(7)
5.3 Properties of Fourier Transform
229(10)
5.3.1 Linearity
229(1)
5.3.2 Time Scaling
230(1)
5.3.3 Time Shifting
230(1)
5.3.4 Frequency Shifting
231(1)
5.3.5 Time Differentiation
232(1)
5.3.6 Frequency Differentiation
232(1)
5.3.7 Time Integration
233(1)
5.3.8 Duality
233(1)
5.3.9 Convolution
234(5)
5.4 Inverse Fourier Transform
239(1)
5.5 Applications
240(10)
5.5.1 Circuit Analysis
241(3)
5.5.2 Amplitude Modulation
244(3)
5.5.3 Sampling
247(3)
5.6 Parseval's Theorem
250(3)
5.7 Comparing the Fourier and Laplace Transforms
253(1)
5.8 Computing with MATLAB®
254(3)
5.9 Summary
257(1)
Review Questions
258(1)
Problems
259(12)
Chapter 6 Discrete Fourier Transform 271(38)
Career in Communications Systems
271(1)
6.1 Introduction
272(1)
6.2 Discrete-Time Fourier Transform
272(5)
6.3 Properties of DTFT
277(12)
6.3.1 Linearity
277(1)
6.3.2 Time Shifting and Frequency Shifting
278(1)
6.3.3 Time Reversal and Conjugation
279(1)
6.3.4 Time Scaling
280(1)
6.3.5 Frequency Differentiation
281(1)
6.3.6 Time and Frequency Convolution
282(1)
6.3.7 Accumulation
283(1)
6.3.8 Parseval's Relation
284(5)
6.4 Discrete Fourier Transform
289(5)
6.5 Fast Fourier Transform
294(1)
6.6 Computing with MATLAB®
295(3)
6.7 Applications
298(3)
6.7.1 Touch-Tone Telephone
298(1)
6.7.2 Windowing
299(2)
6.8 Summary
301(1)
Review Questions
302(1)
Problems
303(6)
Chapter 7 z-Transform 309(44)
Codes of Ethics
309(1)
7.1 Introduction
310(1)
7.2 Definition of the z-Transform
311(2)
7.3 Region of Convergence
313(2)
7.4 Properties of the z-Transform
315(12)
7.4.1 Linearity
316(1)
7.4.2 Time-Shifting
316(1)
7.4.3 Frequency Scaling
317(1)
7.4.4 Time Reversal
318(1)
7.4.5 Modulation
318(1)
7.4.6 Accumulation
319(1)
7.4.7 Convolution
320(1)
7.4.8 Initial and Final Values
320(7)
7.5 Inverse z-Transform
327(5)
7.5.1 Long Division Expansion
327(2)
7.5.2 Partial Fraction Expansion
329(3)
7.6 Applications
332(7)
7.6.1 Linear Difference Equation
333(2)
7.6.2 Transfer Function
335(4)
7.7 Computing with MATLAB®
339(4)
7.8 Summary
343(1)
Review Questions
344(1)
Problems
345(8)
Selected Bibliography 353(2)
Appendix A: Mathematical Formulas 355(12)
Appendix B: Complex Numbers 367(8)
Appendix C: Introduction to MATLAB® 375(14)
Appendix D: Answers to Odd-Numbered Problems 389(26)
Index 415
Matthew N.O. Sadiku received his B.Sc from Ahmadu Bello University, and his M.Sc and Ph.D from Tennessee Technological University. He is currently a professor at Prairie View A&M University. He was previously a senior scientist with Boeing Satellite Systems, system engineer with Lucent/Avaya, full professor with Temple University, and assistant professor with Florida Atlantic University. Widely published and highly decorated, Dr. Sadiku is a registered professional engineer, a fellow of the IEEE, and a member of the ACM. He has served as the IEEE Region 2 Student Activities Committee chairman, and as an associate editor for IEEE Transactions on Education.

Warsame H. Ali received his B.Sc from King Saud University, his M.Sc from Prairie View A&M University, and his Ph.D from the University of Houston. He is currently teaching undergraduate and graduate courses in the Electrical and Computer Engineering Department at Prairie View A&M University. He was previously with NASA, Glenn Research Center, and with Texas Instruments. Dr. Ali has authored 80 research articles in major scientific journals and conferences, given several invited talks, and received many NSF, AFRL, and DOE awards. His research interests include digital PID controllers, digital methods to electrical measurements, mixed signals testing techniques, and more.