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از ساعت 7 صبح تا 10 شب
ویرایش: Third
نویسندگان: Dr. Michael J. Roberts
سری:
ISBN (شابک) : 9780078028120, 0078028124
ناشر:
سال نشر: 2018
تعداد صفحات: 794
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 21 مگابایت
در صورت تبدیل فایل کتاب Signals and systems : analysis using transform methods and MATLAB به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب سیگنال ها و سیستم ها: تجزیه و تحلیل با استفاده از روش های تبدیل و متلب نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Cover Title Copyright Contents Preface Chapter 1 Introduction 1.1 Signals and Systems Defined 1.2 Types of Signals 1.3 Examples of Systems A Mechanical System A Fluid System A Discrete-Time System Feedback Systems 1.4 A Familiar Signal and System Example 1.5 Use of MATLAB® Chapter 2 Mathematical Description of Continuous-Time Signals 2.1 Introduction and Goals 2.2 Functional Notation 2.3 Continuous-Time Signal Functions Complex Exponentials and Sinusoids Functions with Discontinuities The Signum Function The Unit-Step Function The Unit-Ramp Function The Unit Impulse The Impulse, the Unit Step, and Generalized Derivatives The Equivalence Property of the Impulse The Sampling Property of the Impulse The Scaling Property of the Impulse The Unit Periodic Impulse or Impulse Train A Coordinated Notation for Singularity Functions The Unit-Rectangle Function 2.4 Combinations of Functions 2.5 Shifting and Scaling Amplitude Scaling Time Shifting Time Scaling Simultaneous Shifting and Scaling 2.6 Differentiation and Integration 2.7 Even and Odd Signals Combinations of Even and Odd Signals Derivatives and Integrals of Even and Odd Signals 2.8 Periodic Signals 2.9 Signal Energy and Power Signal Energy Signal Power 2.10 Summary of Important Points Exercises Exercises with Answers Signal Functions Shifting and Scaling Derivatives and Integrals of Functions Generalized Derivative Even and Odd Functions Periodic Signals Signal Energy and Power of Signals Exercises without Answers Signal Functions Scaling and Shifting Generalized Derivative Derivatives and Integrals of Functions Even and Odd Functions Periodic Functions Signal Energy and Power of Signals Chapter 3 Discrete-Time Signal Description 3.1 Introduction and Goals 3.2 Sampling and Discrete Time 3.3 Sinusoids and Exponentials Sinusoids Exponentials 3.4 Singularity Functions The Unit-Impulse Function The Unit-Sequence Function The Signum Function The Unit-Ramp Function The Unit Periodic Impulse Function or Impulse Train 3.5 Shifting and Scaling Amplitude Scaling Time Shifting Time Scaling Time Compression Time Expansion 3.6 Differencing and Accumulation 3.7 Even and Odd Signals Combinations of Even and Odd Signals Symmetrical Finite Summation of Even and Odd Signals 3.8 Periodic Signals 3.9 Signal Energy and Power Signal Energy Signal Power 3.10 Summary of Important Points Exercises Exercises with Answers Functions Scaling and Shifting Functions Differencing and Accumulation Even and Odd Functions Periodic Functions Signal Energy and Power Exercises without Answers Signal Functions Shifting and Scaling Functions Differencing and Accumulation Even and Odd Functions Periodic Signals Signal Energy and Power Chapter 4 Description of Systems 4.1 Introduction and Goals 4.2 Continuous-Time Systems System Modeling Differential Equations Block Diagrams System Properties Introductory Example Homogeneity Time Invariance Additivity Linearity and Superposition LTI Systems Stability Causality Memory Static Nonlinearity Invertibility Dynamics of Second-Order Systems Complex Sinusoid Excitation 4.3 Discrete-Time Systems System Modeling Block Diagrams Difference Equations System Properties 4.4 Summary of Important Points Exercises Exercises with Answers System Models Block Diagrams System Properties Exercises without Answers System Models System Properties Chapter 5 Time-Domain System Analysis 5.1 Introduction and Goals 5.2 Continuous Time Impulse Response Continuous-Time Convolution Derivation Graphical and Analytical Examples of Convolution Convolution Properties System Connections Step Response and Impulse Response Stability and Impulse Response Complex Exponential Excitation and the Transfer Function Frequency Response 5.3 Discrete Time Impulse Response Discrete-Time Convolution Derivation Graphical and Analytical Examples of Convolution Convolution Properties Numerical Convolution Discrete-Time Numerical Convolution Continuous-Time Numerical Convolution Stability and Impulse Response System Connections Unit-Sequence Response and Impulse Response Complex Exponential Excitation and the Transfer Function Frequency Response 5.4 Summary of Important Points Exercises Exercises with Answers Continuous Time Impulse Response Convolution Stability Frequency Response Discrete Time Impulse Response Convolution Stability Exercises without Answers Continuous Time Impulse Response Convolution Stability Discrete Time Impulse Response Convolution Stability Chapter 6 Continuous-Time Fourier Methods 6.1 Introduction and Goals 6.2 The Continuous-Time Fourier Series Conceptual Basis Orthogonality and the Harmonic Function The Compact Trigonometric Fourier Series Convergence Continuous Signals Discontinuous Signals Minimum Error of Fourier-Series Partial Sums The Fourier Series of Even and Odd Periodic Functions Fourier-Series Tables and Properties Numerical Computation of the Fourier Series 6.3 The Continuous-Time Fourier Transform Extending the Fourier Series to Aperiodic Signals The Generalized Fourier Transform Fourier Transform Properties Numerical Computation of the Fourier Transform 6.4 Summary of Important Points Exercises Exercises with Answers Fourier Series Orthogonality Forward and Inverse Fourier Transforms Relation of CTFS to CTFT Numerical CTFT System Response Exercises without Answers Fourier Series Forward and Inverse Fourier Transforms System Response Relation of CTFS to CTFT Chapter 7 Discrete-Time Fourier Methods 7.1 Introduction and Goals 7.2 The Discrete-Time Fourier Series and the Discrete Fourier Transform Linearity and Complex-Exponential Excitation Orthogonality and the Harmonic Function Discrete Fourier Transform Properties The Fast Fourier Transform 7.3 The Discrete-Time Fourier Transform Extending the Discrete Fourier Transform to Aperiodic Signals Derivation and Definition The Generalized DTFT Convergence of the Discrete-Time Fourier Transform DTFT Properties Numerical Computation of the Discrete-Time Fourier Transform 7.4 Fourier Method Comparisons 7.5 Summary of Important Points Exercises Exercises with Answers Orthogonality Discrete Fourier Transform Discrete-Time Fourier Transform Definition Forward and Inverse Discrete-Time Fourier Transforms Exercises without Answers Discrete Fourier Transform Forward and Inverse Discrete-Time Fourier Transforms Chapter 8 The Laplace Transform 8.1 Introduction and Goals 8.2 Development of the Laplace Transform Generalizing the Fourier Transform Complex Exponential Excitation and Response 8.3 The Transfer Function 8.4 Cascade-Connected Systems 8.5 Direct Form II Realization 8.6 The Inverse Laplace Transform 8.7 Existence of the Laplace Transform Time-Limited Signals Right- and Left-Sided Signals 8.8 Laplace-Transform Pairs 8.9 Partial-Fraction Expansion 8.10 Laplace-Transform Properties 8.11 The Unilateral Laplace Transform Definition Properties Unique to the Unilateral Laplace Transform Solution of Differential Equations with Initial Conditions 8.12 Pole-Zero Diagrams and Frequency Response 8.13 MATLAB System Objects 8.14 Summary of Important Points Exercises Exercises with Answers Laplace-Transform Definition Direct Form II System Realization Forward and Inverse Laplace Transforms Unilateral Laplace-Transform Integral Solving Differential Equations Exercises without Answers Region of Convergence Existence of the Laplace Transform Direct Form II System Realization Forward and Inverse Laplace Transforms Solution of Differential Equations Pole-Zero Diagrams and Frequency Response Chapter 9 The z Transform 9.1 Introduction and Goals 9.2 Generalizing the Discrete-Time Fourier Transform 9.3 Complex Exponential Excitation and Response 9.4 The Transfer Function 9.5 Cascade-Connected Systems 9.6 Direct Form II System Realization 9.7 The Inverse z Transform 9.8 Existence of the z Transform Time-Limited Signals Right- and Left-Sided Signals 9.9 z-Transform Pairs 9.10 z-Transform Properties 9.11 Inverse z-Transform Methods Synthetic Division Partial-Fraction Expansion Examples of Forward and Inverse z Transforms 9.12 The Unilateral z Transform Properties Unique to the Unilateral z Transform Solution of Difference Equations 9.13 Pole-Zero Diagrams and Frequency Response 9.14 MATLAB System Objects In MATLAB 9.15 Transform Method Comparisons 9.16 Summary of Important Points Exercises Exercises with Answers Direct-Form II System Realization Existence of the z Transform Forward and Inverse z Transforms Unilateral z-Transform Properties Solution of Difference Equations Pole-Zero Diagrams and Frequency Response Exercises without Answers Direct Form II System Realization Existence of the z Transform Forward and Inverse z-Transforms Pole-Zero Diagrams and Frequency Response Chapter 10 Sampling and Signal Processing 10.1 Introduction and Goals 10.2 Continuous-Time Sampling Sampling Methods The Sampling Theorem Qualitative Concepts Sampling Theorem Derivation Aliasing Time-limited and Bandlimited Signals Interpolation Ideal Interpolation Practical Interpolation Zero-Order Hold First-Order Hold Sampling Bandpass Signals Sampling a Sinusoid Bandlimited Periodic Signals Signal Processing Using the DFT CTFT-DFT Relationship CTFT-DTFT Relationship Sampling and Periodic-Repetition Relationship Computing the CTFS Harmonic Function with the DFT Approximating the CTFT with the DFT Forward CTFT Inverse CTFT Approximating the DTFT with the DFT Approximating Continuous-Time Convolution with the DFT Aperiodic Convolution Periodic Convolution Discrete-Time Convolution with the DFT Aperiodic Convolution Periodic Convolution Summary of Signal Processing Using the DFT 10.3 Discrete-Time Sampling Periodic-Impulse Sampling Interpolation 10.4 Summary of Important Points Exercises Exercises with Answers Pulse Amplitude Modulation Sampling Impulse Sampling Nyquist Rates Time-Limited and Bandlimited Signals Interpolation Aliasing Bandlimited Periodic Signals CTFT-CTFS-DFT Relationships Windows DFT Exercises without Answers Sampling Impulse Sampling Nyquist Rates Aliasing Practical Sampling Bandlimited Periodic Signals DFT Discrete-Time Sampling Chapter 11 Frequency Response Analysis 11.1 Introduction and Goals 11.2 Frequency Response 11.3 Continuous-Time Filters Examples of Filters Ideal Filters Distortion Filter Classifications Ideal Filter Frequency Responses Impulse Responses and Causality The Power Spectrum Noise Removal Bode Diagrams The Decibel The One-Real-Pole System The One-Real-Zero System Integrators and Differentiators Frequency-Independent Gain Complex Pole and Zero Pairs Practical Filters Passive Filters The Lowpass Filter The Bandpass Filter Active Filters Operational Amplifiers The Integrator The Lowpass Filter 11.4 Discrete-Time Filters Notation Ideal Filters Distortion Filter Classifications Frequency Responses Impulse Responses and Causality Filtering Images Practical Filters Comparison with Continuous-Time Filters Highpass, Bandpass, and Bandstop Filters The Moving Average Filter The Almost Ideal Lowpass Filter Advantages Compared to Continuous-Time Filters 11.5 Summary of Important Points Exercises Exercises with Answers Continuous-Time Frequency Response Continuous-Time Ideal Filters Continuous-Time Causality Logarithmic Graphs, Bode Diagrams, and Decibels Continuous-Time Practical Passive Filters Continuous-Time Practical Active Filters Discrete-Time Frequency Response Discrete-Time Ideal Filters Discrete-Time Causality Discrete-Time Practical Filters Exercises without Answers Continuous-Time Frequency Response Continuous-Time Ideal Filters Continuous-Time Causality Bode Diagrams Continuous-Time Practical Passive Filters Continuous-Time Filters Continuous-Time Practical Active Filters Discrete-Time Causality Discrete-Time Filters Chapter 12 Laplace System Analysis 12.1 Introduction and Goals 12.2 System Representations 12.3 System Stability 12.4 System Connections Cascade and Parallel Connections The Feedback Connection Terminology and Basic Relationships Feedback Effects on Stability Beneficial Effects of Feedback Instability Caused by Feedback Stable Oscillation Using Feedback The Root-Locus Method Tracking Errors in Unity-Gain Feedback Systems 12.5 System Analysis Using MATLAB 12.6 System Responses to Standard Signals Unit-Step Response Sinusoid Response 12.7 Standard Realizations of Systems Cascade Realization Parallel Realization 12.8 Summary of Important Points Exercises Exercises with Answers Transfer Functions Stability Parallel, Cascade, and Feedback Connections Root Locus Tracking Errors in Unity-Gain Feedback Systems System Responses to Standard Signals System Realization Exercises without Answers Stability Transfer Functions Stability Parallel, Cascade, and Feedback Connections Root Locus Tracking Errors in Unity-Gain Feedback Systems Response to Standard Signals System Realization Chapter 13 z-Transform System Analysis 13.1 Introduction and Goals 13.2 System Models Difference Equations Block Diagrams 13.3 System Stability 13.4 System Connections 13.5 System Responses to Standard Signals Unit-Sequence Response Response to a Causal Sinusoid 13.6 Simulating Continuous-Time Systems with Discrete-Time Systems z-Transform-Laplace-Transform Relationships Impulse Invariance Sampled-Data Systems 13.7 Standard Realizations of Systems Cascade Realization Parallel Realization 13.8 Summary of Important Points Exercises Exercises with Answers Stability Parallel, Cascade, and Feedback Connections Response to Standard Signals Root Locus Laplace-Transform-z-Transform Relationship Sampled-Data Systems System Realization Exercises without Answers Stability Root Locus Parallel, Cascade, and Feedback Connections Response to Standard Signals Laplace-Transform-z-Transform Relationship Sampled-Data Systems System Realization General Chapter 14 Filter Analysis and Design 14.1 Introduction and Goals 14.2 Analog Filters Butterworth Filters Normalized Butterworth Filters Filter Transformations MATLAB Design Tools Chebyshev, Elliptic, and Bessel Filters 14.3 Digital Filters Simulation of Analog Filters Filter Design Techniques IIR Filter Design Time-Domain Methods Impulse-Invariant Design Step-Invariant Design Finite-Difference Design Frequency-Domain Methods The Bilinear Method FIR Filter Design Truncated Ideal Impulse Response Optimal FIR Filter Design MATLAB Design Tools 14.4 Summary of Important Points Exercises Exercises with Answers Continuous-Time Filters Finite-Difference Filter Design Matched-z Transform and Direct Substitution Filter Design Bilinear z-Transform Filter Design FIR Filter Design Digital Filter Design Method Comparison Exercises without Answers Analog Filter Design Impulse-Invariant and Step-Invariant Filter Design Finite-Difference Filter Design Matched z-Transform and Direct Substitution Filter Design Bilinear z-Transform Filter Design FIR Filter Design Digital Filter Design Method Comparison Appendix I: Useful Mathematical Relations II: Continuous-Time Fourier Series Pairs III: Discrete Fourier Transform Pairs IV: Continuous-Time Fourier Transform Pairs V: Discrete-Time Fourier Transform Pairs VI: Tables of Laplace Transform Pairs VII: z-Transform Pairs Bibliography Index A B C D E F G H I K L M N O P Q R S T U V W Z