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{ "item_title" : "Spectral, Convolution and Numerical Techniques in Circuit Theory", "item_author" : [" Fuad Badrieh "], "item_description" : "Integrates the most relevant aspects of signals and systems, circuit theory, mathematical techniques, and graphics into a coherent flow at reasonable depth Covers a vast range of applications, ranging from RLC circuits, signal integrity, power delivery, feedback, transistor modeling, scattering parameters, multi-port networks, transmission lines, analog circuits, stability, sampling, algorithms, and numerical techniques Follows a uniform presentation throughout, starting with theory at each stage, presenting multiple methods to solve the given problem, generating a solution and comparing to Spice results Driven by the authors' industrial experience, but rooted in academic research with ample of applications, examples, algorithms and verifications ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/010/057/303010057X_b.jpg", "price_data" : { "retail_price" : "159.99", "online_price" : "159.99", "our_price" : "159.99", "club_price" : "159.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Spectral, Convolution and Numerical Techniques in Circuit Theory|Fuad Badrieh

Spectral, Convolution and Numerical Techniques in Circuit Theory

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Overview

Integrates the most relevant aspects of signals and systems, circuit theory, mathematical techniques, and graphics into a coherent flow at reasonable depth

Covers a vast range of applications, ranging from RLC circuits, signal integrity, power delivery, feedback, transistor modeling, scattering parameters, multi-port networks, transmission lines, analog circuits, stability, sampling, algorithms, and numerical techniques

Follows a uniform presentation throughout, starting with theory at each stage, presenting multiple methods to solve the given problem, generating a solution and comparing to Spice results

Driven by the authors' industrial experience, but rooted in academic research with ample of applications, examples, algorithms and verifications

This item is Non-Returnable

Details

  • ISBN-13: 9783030100575
  • ISBN-10: 303010057X
  • Publisher: Springer
  • Publish Date: February 2019
  • Dimensions: 10 x 7 x 1.98 inches
  • Shipping Weight: 3.76 pounds
  • Page Count: 976

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