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Modeling Digital Switching Circuits with Linear Algebra By Mitchell A. Thornton
390.00 جنيه

Modeling Digital Switching Circuits with Linear Algebra By Mitchell A. Thornton

كن أول من يقيِّم هذا المنتج 

390.00 جنيه 

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الأسعار تشمل ضريبة القيمة المضافة  التفاصيل
رقم ال ISBN
9781627052337
الفئات
الهندسة الكهربائية
الكاتب
Mitchell A. Thornton
الناشر
Morgan&claypool
الوصف:

  • Book Name: Modeling Digital Switching Circuits with Linear Algebra
  • Author: Mitchell A. Thornton
  • ISBN: 9781627052337
  • Publisher:Morgan&claypool
  • Description: Modeling Digital Switching Circuits with Linear Algebra describes an approach for modeling digital information and circuitry that is an alternative to Boolean algebra. While the Boolean algebraic model has been wildly successful and ...

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معلومات المنتج

  •  

    المواصفات

    رقم ال ISBN
    9781627052337
    EAN-13
    9781627052337
    الفئات
    الهندسة الكهربائية
    الرقم المميز للسلعة
    2724588906308
    المؤلفين
    الكاتب
    Mitchell A. Thornton
    رقم ال ISBN
    9781627052337
    EAN-13
    9781627052337
    الفئات
    الهندسة الكهربائية
    الرقم المميز للسلعة
    2724588906308
    المؤلفين
    الكاتب
    Mitchell A. Thornton
    المؤلفين
    الناشر
    Morgan&claypool
    معلومات تقنية
    غلاف الكتاب
    غلاف عادي
    اللغات والبلدان
    لغة الكتاب
    الانجليزية
    دي جي
    هل يتطلب هذا المنتج بطارية او يحتوي بطارية
    إقرأ المزيد
  •  

    الوصف:

    • Book Name: Modeling Digital Switching Circuits with Linear Algebra
    • Author: Mitchell A. Thornton
    • ISBN: 9781627052337
    • Publisher:Morgan&claypool
    • Description: Modeling Digital Switching Circuits with Linear Algebra describes an approach for modeling digital information and circuitry that is an
    • Book Name: Modeling Digital Switching Circuits with Linear Algebra
    • Author: Mitchell A. Thornton
    • ISBN: 9781627052337
    • Publisher:Morgan&claypool
    • Description: Modeling Digital Switching Circuits with Linear Algebra describes an approach for modeling digital information and circuitry that is an alternative to Boolean algebra. While the Boolean algebraic model has been wildly successful and is responsible for many advances in modern information technology, the approach described in this book offers new insight and different ways of solving problems. Modeling the bit as a vector instead of a scalar value in the set {0, 1} allows digital circuits to be characterized with transfer functions in the form of a linear transformation matrix. The use of transfer functions is ubiquitous in many areas of engineering and their rich background in linear systems theory and signal processing is easily applied to digital switching circuits with this model. The common tasks of circuit simulation and justification are specific examples of the application of the linear algebraic model and are described in detail. The advantages offered by the new model as compared to traditional methods are emphasized throughout the book. Furthermore, the new approach is easily generalized to other types of information processing circuits such as those based upon multiple-valued or quantum logic; thus providing a unifying mathematical framework common to each of these areas.Modeling Digital Switching Circuits with Linear Algebra provides a blend of theoretical concepts and practical issues involved in implementing the method for circuit design tasks. Data structures are described and are shown to not require any more resources for representing the underlying matrices and vectors than those currently used in modern electronic design automation (EDA) tools based on the Boolean model. Algorithms are described that perform simulation, justification, and other common EDA tasks in an efficient manner that are competitive with conventional design tools. The linear algebraic model can be used to implement common EDA tasks directly upon a structural netlist thus avoiding the intermediate step of transforming a circuit description into a representation of a set of switching functions as is commonly the case when conventional Boolean techniques are used. Implementation results are provided that empirically demonstrate the practicality of the linear algebraic model.
 

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