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Networks and Systems.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
New Academic Science,
2010.
|
| Edición: | 2nd ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Preface; Contents; Chapter 1 Baisc Circuit Elements and Waveforms; 1.1 Introduction; 1.2 Circuit Components; 1.3 Assumptions for Circuit Analysis; 1.4 Definitions; 1.5 Conservation of Energy; 1.6 Source of Electrical Energy; 1.7 Standard Input Signals; 1.8 Sinusoidal Signal; 1.9 Kirchhoff's Laws; Chapter 2 Signals and Systems; 2.1 Signals; Conjugate Symmetric; The Continuous-Time Unit Step and Unit Impulse Functions; 2.1.1 The Discrete-Time Unit Impulse and Unit Step Sequences; Even and Odd Signals; Periodic Signal; Time Scaling; Reflection; Time Shifting; Types of Sequences.
- Impulse ResponseDiscrete Convolution; 2.2 New Approach for Solving Problems; 2.3 System Properties; Systems with and without Memory; Invertibility and Inverse Systems; Causality; Linearity; Chapter 3 Mesh and Node Analysis; 3.1 Introduction; 3.2 Kirchhoff's Laws; 3.3 Source Transformation; 3.4 General Network Transformations; 3.5 Mesh and Node Analysis; 3.6 Network Equations for RLC Network; 3.7 Magnetic Coupling; Chapter 4 Fourier Series; 4.1 Introduction; 4.2 Trigonometric Fourier Series; 4.3 Evaluation of Fourier Coefficients; 4.4 Waveform Symmetry; 4.5 Fourier Series in Optimal Sense.
- 4.6 Exponential Form of Fourier Series4.7 Effective Value; 4.8 Fourier Transform; 4.9 Effective Value of a Non-sinusoidal Wave; Chapter 5 The Laplace Transform; 5.1 Introduction; 5.2 Laplace Transformation; 5.3 Some Basic Theorems; 5.4 Gate Function; 5.5 Impulse Function; 5.6 Laplace Transform of Periodic Functions; Chapter 6 Application of Laplace Transform; 6.1 Introduction; 6.2 Solution of Linear Differential Equation; 6.3 Heaviside's Partial Fraction Expansion; 6.4 Kirchhoff's Laws; 6.5 Solution of Network Problems; 6.6 Convolution Integral; 6.7 Convolution Theorem.
- 6.8 Evaluation of the Convolution Integral6.9 Inverse Transformation by Convolution; 6.10 Impulse Response; 6.11 Graphical Convolution; Chapter 7 Analogous System; 7.1 Introduction; 7.2 Mechanical Elements; 7.3 D' Alembert's Principle; 7.4 Force-voltage Analogy; 7.5 Force-current Analogy; 7.6 Mechanical Couplings; 7.7 Electromechanical System; 7.8 Liquid Level System; Chapter 8 Graph Theory and Network Equation; 8.1 Introduction; 8.2 Graph of a Network; 8.3 Trees, Cotrees and Loops; 8.4 Number of Possible Trees of a Graph; 8.5 Incidence Matrix; 8.6 Cut-set Matrix.
- 8.7 Tie-set Matrix and Loop Currents8.8 Inter-relationship Among Various Matrices; 8.9 Analysis of Networks; 8.10 Network Equilibrium Equation; 8.11 Duality; Chapter 9 Network Theorems; 9.1 Introduction; 9.2 Superposition Theorem; 9.3 Reciprocity Theorem; 9.4 Thevenin's Theorem; 9.5 Norton's Theorem; 9.6 Millman's Theorem; 9.7 Maximum Power Transfer Theorem; 9.8 Substitution Theorem; 9.9 Compensation Theorem; 9.10 Tellegen's Theorem; Chapter 10 Resonance; 10.1 Introduction; 10.2 Series Resonance; 10.3 Parallel Resonance; Chapter 11 Attenuators; 11.1 Introduction; 11.2 Nepers, Decibels.