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Spectral, Convolution and Numerical Techniques in Circuit Theory [Hardcover]

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  • Category: Books (Technology &Amp; Engineering)
  • Author:  Badrieh, Fuad
  • Author:  Badrieh, Fuad
  • ISBN-10:  3319714368
  • ISBN-10:  3319714368
  • ISBN-13:  9783319714363
  • ISBN-13:  9783319714363
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Apr-2018
  • Pub Date:  01-Apr-2018
  • SKU:  3319714368-11-SPRI
  • SKU:  3319714368-11-SPRI
  • Item ID: 101240165
  • List Price: $219.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Dec 01 to Dec 03
  • Notes: Brand New Book. Order Now.

This book describes a set of tools and algorithms then enable the electrical engineer in fields such as circuit design, power delivery, signal integrity, analog design, package and board modeling to arrive at approximate and exact solutions robustly and relatively efficiently, even when typical software packages may fail to do so. By leveraging well established and time tested methods, the author demonstrates how the practitioner will be able to deal with various circuit design problems and signal integrity issues both in the frequency and time domains. The presented tool set is an alternative to brute force time discretization and software utilization, offering great insight into the operations of linear systems ranging from RLC networks to device modeling. 

1 Introduction
2 Steady State Solutions to Circuit Problems
3 Differential Equation Solution to Circuit Problems
4 Series Expansion solution for Circuit Problems
5 Numerical Differential Equation Solution to Circuit Problems
6 Fourier Series and Periodic Functions
7 Complex Fourier Series
8 Fourier Transform
9 Properties of the Fourier Transforms
10 Further Examples/Topics on Fourier Transform
11 Fourier Transform of Periodic Signals
12 Approximate and Numerical Techniques in Fourier Transform
13 Bandwidth
14 Laplace Transform
15 Using Complex Integration to Figure Inverse Laplace Transform
16 Properties of Laplace Transform
17 Laplace Transform of Periodic Functions
18 Finding Inverse Laplace Transform via Partial Fractions
19 Convolution
20 Signal Construction in Terms of ConvolutiolÓ+