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Preface | p. xv |
Acknowledgments | p. xvii |
Author | p. xix |
Signal Representation | p. 1 |
Introduction | p. 1 |
Why Do We Discretize Continuous Systems? | p. 3 |
Periodic and Nonperiodic Discrete Signals | p. 3 |
Unit Step Discrete Signal | p. 4 |
Impulse Discrete Signal | p. 6 |
Ramp Discrete Signal | p. 6 |
Real Exponential Discrete Signal | p. 7 |
Sinusoidal Discrete Signal | p. 7 |
Exponentially Modulated Sinusoidal Signal | p. 11 |
Complex Periodic Discrete Signal | p. 11 |
Shifting Operation | p. 15 |
Representing a Discrete Signal Using Impulses | p. 16 |
Reflection Operation | p. 20 |
Time Scaling | p. 20 |
Amplitude Scaling | p. 20 |
Even and Odd Discrete Signal | p. 21 |
Does a Discrete Signal Have a Time Constant? | p. 24 |
Basic Operations on Discrete Signals | p. 25 |
Modulation | p. 25 |
Addition and Subtraction | p. 26 |
Scalar Multiplication | p. 26 |
Combined Operations | p. 26 |
Energy and Power Discrete Signals | p. 28 |
Bounded and Unbounded Discrete Signals | p. 30 |
Some Insights: Signals in the Real World | p. 31 |
Step Signal | p. 31 |
Impulse Signal | p. 31 |
Sinusoidal Signal | p. 31 |
Ramp Signal | p. 32 |
Other Signals | p. 32 |
End of Chapter Examples | p. 32 |
End of Chapter Problems | p. 53 |
Discrete System | p. 57 |
Definition of a System | p. 57 |
Input and Output | p. 57 |
Linear Discrete Systems | p. 58 |
Time Invariance and Discrete Signals | p. 61 |
Systems with Memory | p. 62 |
Causal Systems | p. 63 |
Inverse of a System | p. 64 |
Stable System | p. 65 |
Convolution | p. 66 |
Difference Equations of Physical Systems | p. 69 |
Homogeneous Difference Equation and Its Solution | p. 70 |
Case When Roots Are All Distinct | p. 73 |
Case When Two Roots Are Real and Equal | p. 73 |
Case When Two Roots Are Complex | p. 74 |
Nonhomogeneous Difference Equations and Their Solutions | p. 75 |
How Do We Find the Particular Solution? | p. 77 |
Stability of Linear Discrete Systems: The Characteristic Equation | p. 77 |
Stability Depending on the Values of the Poles | p. 77 |
Stability from the Jury Test | p. 78 |
Block Diagram Representation of Linear Discrete Systems | p. 80 |
Delay Element | p. 80 |
Summing/Subtracting Junction | p. 81 |
Multiplier | p. 81 |
From the Block Diagram to the Difference Equation | p. 82 |
From the Difference Equation to the Block Diagram: A Formal Procedure | p. 83 |
Impulse Response | p. 86 |
Correlation | p. 88 |
Cross-Correlation | p. 88 |
Auto-Correlation | p. 90 |
Some Insights | p. 91 |
How Can We Find These Eigenvalues? | p. 91 |
Stability and Eigenvalues | p. 92 |
End of Chapter Examples | p. 93 |
End of Chapter Problems | p. 135 |
Fourier Series and the Fourier Transform of Discrete Signals | p. 141 |
Introduction | p. 141 |
Review of Complex Numbers | p. 141 |
Definition | p. 142 |
Addition | p. 143 |
Subtraction | p. 143 |
Multiplication | p. 143 |
Division | p. 144 |
From Rectangular to Polar | p. 144 |
From Polar to Rectangular | p. 145 |
Fourier Series of Discrete Periodic Signals | p. 145 |
Discrete System with Periodic Inputs: The Steady-State Response | p. 147 |
General Form for yss(n) | p. 151 |
Frequency Response of Discrete Systems | p. 152 |
Properties of the Frequency Response | p. 154 |
Periodicity Property | p. 154 |
Symmetry Property | p. 155 |
Fourier Transform of Discrete Signals | p. 157 |
Convergence Conditions | p. 159 |
Properties of the Fourier Transform of Discrete Signals | p. 159 |
Periodicity Property | p. 159 |
Linearity Property | p. 160 |
Discrete-Time Shifting Property | p. 160 |
Frequency Shifting Property | p. 160 |
Reflection Property | p. 161 |
Convolution Property | p. 161 |
Parseval's Relation and Energy Calculations | p. 164 |
Numerical Evaluation of the Fourier Transform of Discrete Signals | p. 165 |
Some Insights: Why Is This Fourier Transform? | p. 170 |
Ease in Analysis and Design | p. 170 |
Sinusoidal Analysis | p. 170 |
End of Chapter Examples | p. 171 |
End of Chapter Problems | p. 185 |
z-Transform and Discrete Systems | p. 191 |
Introduction | p. 191 |
Bilateral z-Transform | p. 191 |
Unilateral z-Transform | p. 193 |
Convergence Considerations | p. 196 |
Inverse z-Transform | p. 199 |
Partial Fraction Expansion | p. 199 |
Long Division | p. 201 |
Properties of the z-Transform | p. 202 |
Linearity Property | p. 203 |
Shifting Property | p. 203 |
Multiplication by e-an | p. 205 |
Convolution | p. 205 |
Representation of Transfer Functions as Block Diagrams | p. 206 |
x(n), h(n), y(n), and the z-Transform | p. 208 |
Solving Difference Equation Using the z-Transform | p. 209 |
Convergence Revisited | p. 211 |
Final-Value Theorem | p. 214 |
Initial-Value Theorem | p. 215 |
Some Insights: Poles and Zeroes | p. 215 |
Poles of the System | p. 216 |
Zeros of the System | p. 216 |
Stability of the System | p. 216 |
End of Chapter Exercises | p. 217 |
End of Chapter Problems | p. 249 |
State-Space and Discrete Systems | p. 259 |
Introduction | p. 259 |
Review on Matrix Algebra | p. 260 |
Definition, General Terms, and Notations | p. 260 |
Identity Matrix | p. 260 |
Adding Two Matrices | p. 261 |
Subtracting Two Matrices | p. 261 |
Multiplying a Matrix by a Constant | p. 261 |
Determinant of a Two-by-Two Matrix | p. 261 |
Transpose of a Matrix | p. 262 |
Inverse of a Matrix | p. 262 |
Matrix Multiplication | p. 262 |
Eigenvalues of a Matrix | p. 263 |
Diagonal Form of a Matrix | p. 263 |
Eigenvectors of a Matrix | p. 263 |
General Representation of Systems in State Space | p. 264 |
Recursive Systems | p. 264 |
Nonrecursive Systems | p. 266 |
From the Block Diagram to State Space | p. 267 |
From the Transfer Function H(z) to State Space | p. 270 |
Solution of the State-Space Equations in the z-Domain | p. 277 |
General Solution of the State Equation in Real Time | p. 278 |
Properties of An and Its Evaluation | p. 280 |
Transformations for State-Space Representations | p. 283 |
Some Insights: Poles and Stability | p. 285 |
End of Chapter Examples | p. 286 |
End of Chapter Problems | p. 315 |
Block Diagrams and Review of Discrete System Representations | p. 323 |
Introduction | p. 323 |
Basic Block Diagram Components | p. 324 |
Ideal Delay | p. 324 |
Adder | p. 324 |
Subtractor | p. 324 |
Multiplier | p. 325 |
Block Diagrams as Interconnected Subsystems | p. 325 |
General Transfer Function Representation | p. 325 |
Parallel Representation | p. 325 |
Series Representation | p. 326 |
Basic Feedback Representation | p. 326 |
Controllable Canonical Form Block Diagrams with Basic Blocks | p. 327 |
Observable Canonical Form Block Diagrams with Basic Blocks | p. 329 |
Diagonal Form Block Diagrams with Basic Blocks | p. 330 |
Distinct Roots Case | p. 330 |
Repeated Roots Case | p. 332 |
Parallel Block Diagrams with Subsystems | p. 332 |
Distinct Roots Case | p. 332 |
Repeated Roots Case | p. 333 |
Series Block Diagrams with Subsystems | p. 334 |
Distinct Real Roots Case | p. 334 |
Mixed Complex and Real Roots Case | p. 335 |
Block Diagram Reduction Rules | p. 335 |
Using the Reduction Rules | p. 335 |
Using Mason's Rule | p. 335 |
End of Chapter Examples | p. 336 |
End of Chapter Problems | p. 359 |
Discrete Fourier Transform and Discrete Systems | p. 365 |
Introduction | p. 365 |
Discrete Fourier Transform and the Finite-Duration Discrete Signals | p. 366 |
Properties of the DFT | p. 367 |
How Does the Defining Equation Work? | p. 367 |
DFT Symmetry | p. 369 |
DFT Linearity | p. 371 |
Magnitude of the DFT | p. 371 |
What Does k in X(k), the DFT, Mean? | p. 372 |
Relation the DFT Has with the Fourier Transform of Discrete Signals, the z-Transform, and the Continuous Fourier Transform | p. 373 |
DFT and the Fourier Transform of x(n) | p. 373 |
DFT and the z-Transform of x(n) | p. 374 |
DFT and the Continuous Fourier Transform of x(t) | p. 374 |
Numerical Computation of. the DFT | p. 377 |
Fast Fourier Transform: A Faster Way of Computing the DFT | p. 378 |
Applications of the DFT | p. 380 |
Circular Convolution | p. 380 |
Linear Convolution | p. 384 |
Approximation to the Continuous Fourier Transform | p. 385 |
Approximation to the Coefficients of the Fourier Series and the Average Power of the Periodic Signal x(t) | p. 386 |
Total Energy in the Signal x(n) and x(f) | p. 391 |
Block Filtering | p. 393 |
Correlation | p. 393 |
Some Insights | p. 394 |
DFT Is the Same as the fft | p. 394 |
DFT Points Are the Samples of the Fourier Transform, of x(n) | p. 394 |
How Can We Be Certain That Most of the Frequency Contents of x(t) Are in the DFT? | p. 395 |
Is the Circular Convolution the Same as the Linear Convolution? | p. 395 |
Is X(w) ≅ X(K) ? | p. 395 |
Frequency Leakage and the DFT | p. 395 |
End of Chapter Exercises | p. 396 |
End of Chapter Problems | p. 415 |
Sampling and Transformations | p. 421 |
Need for Converting a Continuous Signal to a Discrete Signal | p. 421 |
From the Continuous Signal to Its Binary Code Representation | p. 422 |
From the Binary Code to the Continuous Signal | p. 423 |
Sampling Operation | p. 424 |
Ambiguity in Real-Time Domain | p. 424 |
Ambiguity in the Frequency Domain | p. 427 |
Sampling Theorem | p. 427 |
Filtering before Sampling | p. 428 |
Sampling and Recovery of the Continuous Signal | p. 429 |
How Do We Discretize the Derivative Operation? | p. 434 |
Discretization of the State-Space Representation | p. 438 |
Bilinear Transformation and the Relationship between the Laplace-Domain and the z-Domain Representations | p. 440 |
Other Transformation Methods | p. 445 |
Impulse Invariance Method | p. 446 |
Step Invariance Method | p. 446 |
Forward Difference Method | p. 446 |
Backward Difference Method | p. 446 |
Bilinear Transformation | p. 446 |
Some Insights | p. 449 |
Choice of the Sampling Interval Ts | p. 449 |
Effect of Choosing Ts on the Dynamics of the System | p. 449 |
Does Sampling Introduce Additional Zeros to the Transfer Function H(z)? | p. 450 |
End of Chapter Examples | p. 450 |
End of Chapter Problems | p. 467 |
Infinite Impulse Response Filter Design | p. 473 |
Introduction | p. 473 |
Design Process | p. 474 |
Design Based on the Impulse Invariance Method | p. 475 |
Design Based on the Bilinear Transform Method | p. 477 |
HR Filter Design Using MATLAB“ | p. 480 |
From the Analogue Prototype to the HR Digital Filter | p. 481 |
Direct Design | p. 481 |
Some Insights | p. 482 |
Difficulty in Designing HR Digital Filters in the z-Domain | p. 482 |
Using the Impulse Invariance Method | p. 484 |
Choice of the Sampling Interval Ts | p. 484 |
End of Chapter Examples | p. 484 |
End of Chapter Problems | p. 515 |
Finite Impulse Response Digital Filters | p. 521 |
Introduction | p. 521 |
What Is an FIR Digital Filter? | p. 521 |
Motivating Example | p. 521 |
FIR Filter Design | p. 524 |
Stability of FIR Filters | p. 526 |
Linear Phase of FIR Filters | p. 527 |
Design Based on the Fourier Series: The Windowing Method | p. 528 |
Ideal Lowpass FIR Filter Design | p. 529 |
Other Ideal Digital FIR Filters | p. 531 |
Windows Used in the Design of the Digital FIR Filter | p. 532 |
Which Window Does Give the Optimal h(n)? | p. 534 |
Design of a Digital FIR Differentiator | p. 535 |
Design of Comb FIR Filters | p. 537 |
Design of a Digital Shifter: The Hilbert Transform Filter | p. 539 |
From IIR to FIR Digital Filters: An Approximation | p. 540 |
Frequency Sampling and FIR Filter Design | p. 540 |
FIR Digital Design Using MATLAB“ | p. 541 |
Design Using Windows | p. 541 |
Design Using Least-Squared Error | p. 542 |
Design Using the Equiripple Linear Phase | p. 542 |
How to Obtain the Frequency Response | p. 542 |
Some Insights | p. 543 |
Comparison with IIR Filters | p. 543 |
Different Methods Used in the FIR Filter Design | p. 543 |
End of the Chapter Examples | p. 544 |
End of Chapter Problems | p. 572 |
Bibliography | p. 579 |
Index | p. 581 |
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