Previous edition: 2008.

<P>Chapter 1 Signal Representation<BR>1.1 Examples of Continuous Signals<BR>1.2 The Continuous Signal<BR>1.3 Periodic and Nonperiodic Signals<BR>1.4 General Form of Sinusoidal Signals<BR>1.5 Energy and Power Signals<BR>1.6 The Shifting Operation<BR>1.7 The Reflection Operation<BR>1.8 Even and Odd Functions <BR>1.9 Time Scaling<BR>1.10 The Unit Step Signal <BR>1.11 The Signum Signal<BR>1.12 The Ramp Signal<BR>1.13 The Sampling Signal <BR>1.14 The Impulse Signal<BR>1.15 Some Insights: Signals in the Real World<BR>1.16 End-of-Chapter Examples <BR>1.17 End-of-Chapter Problems<BR>References</P><P><BR>Chapter 2 Continuous Systems<BR>2.1 Definition of a System<BR>2.2 Input and Output<BR>2.3 Linear Continuous System<BR>2.4 Time-Invariant System<BR>2.5 Systems without Memory<BR>2.6 Causal Systems<BR>2.7 The Inverse of a System<BR>2.8 Stable Systems<BR>2.9 Convolution<BR>2.10 Simple Block Diagrams<BR>2.11 Graphical Convolution<BR>2.12 Differential Equations and Physical Systems <BR>2.13 Homogeneous Differential Equations and Their Solutions<BR>2.14 Nonhomogeneous Differential Equations and Their Solutions<BR>2.15 The Stability of Linear Continuous Systems: The Characteristic Equation<BR>2.16 Block Diagram Representation of Linear Systems<BR>2.17 From Block Diagrams to Differential Equations <BR>2.18 From Differential Equations to Block Diagrams <BR>2.19 The Impulse Response<BR>2.20 Some Insights: Calculating y(t)<BR>2.21 End-of-Chapter Examples<BR>2.22 End-of-Chapter Problems<BR>References</P><P><BR>Chapter 3 Fourier Series<BR>3.1 Review of Complex Numbers<BR>3.2 Orthogonal Functions <BR>3.3 Periodic Signals<BR>3.4 Conditions for Writing a Signal as a Fourier Series Sum<BR>3.5 Basis Functions<BR>3.6 The Magnitude and the Phase Spectra<BR>3.7 Fourier Series and the Sin-Cos Notation<BR>3.8 Fourier Series Approximation and the Resulting Error<BR>3.9 The Theorem of Parseval<BR>3.10 Systems with Periodic Inputs<BR>3.11 A Formula for Finding y(t) When x(t) Is Periodic: The Steady-State Response<BR>3.12 Some Insight: Why the Fourier Series?<BR>3.13 End-of-Chapter Examples<BR>3.14 End-of-Chapter Problems<BR>References</P><P><BR>Chapter 4 The Fourier Transform and Linear Systems<BR>4.1 Definition<BR>4.2 Introduction<BR>4.3 The Fourier Transform Pairs<BR>4.4 Energy of Non-Periodic Signals<BR>4.5 The Energy Spectral Density of a Linear System<BR>4.6 Some Insights: Notes and a Useful Formula<BR>4.7 End-of-Chapter Examples<BR>4.8 End-of-Chapter Problems<BR>References<BR></P><P>Chapter 5 The Laplace Transform and Linear Systems<BR>5.1 Definition <BR>5.2 The Bilateral Laplace Transform<BR>5.3 The Unilateral Laplace Transform<BR>5.4 The Inverse Laplace Transform<BR>5.5 Block Diagrams Using the Laplace Transform<BR>5.6 Representation of Transfer Functions as Block Diagrams<BR>5.7 Procedure for Drawing the Block Diagram from the Transfer Function<BR>5.8 Solving LTI Systems Using the Laplace Transform<BR>5.9 Solving Differential Equations Using the Laplace Transform<BR>5.10 The Final Value Theorem<BR>5.11 The Initial Value Theorem<BR>5.12 Some Insights: Poles and Zeros <BR>5.13 End-of-Chapter Examples <BR>5.14 End-of-Chapter Problems<BR>References</P><P><BR>Chapter 6 State-Space and Linear Systems<BR>6.1 Introduction<BR>6.2 A Review of Matrix Algebra<BR>6.3 General Representation of Systems in State-Space<BR>6.4 General Solution of State-Space Equations Using the Laplace Transform<BR>6.5 General Solution of the State-Space Equations in Real Time<BR>6.6 Ways of Evaluating eAt <BR>6.7 Some Insights: Poles and Stability<BR>6.8 End-of-Chapter Examples<BR>6.9 End-of-Chapter Problems<BR>References</P>