1. Number Systems - Part B - Digital Electronics - Vol 1
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1. Number Systems - Part B

1. Number Systems - Part B

The chapter explores key concepts in digital electronics, particularly standards for floating-point representation such as IEEE-754 and IEEE-854. It describes the various formats, including single and double precision, and discusses the ongoing revisions and the importance of these standards in computer systems. Through examples, the chapter illustrates how to convert between binary and floating-point representations, detailing specific calculations for clarity.

8 sections

Sections

Navigate through the learning materials and practice exercises.

  1. 1.14
    Digital Electronics

    This section provides an overview of the IEEE-754 standard for...

  2. 1.14.1
    Ansi/ieee-754 Format

    The IEEE-754 format is a widely adopted standard for representing...

  3. 1.14.2
    Ieee-754r Format

    The IEEE-754r format extends the IEEE-754 standard for floating-point...

  4. 1.14.3
    Ieee-854 Standard

    The IEEE-854 standard specifies a framework for radix-independent...

  5. 1.14.4
    Example 1.11

    This section explains the IEEE-754 floating point representation, focusing...

  6. 1.14.5
    Review Questions

    This section presents a set of review questions that test knowledge and...

  7. 1.14.6

    This section presents various problems related to conversions and...

  8. 1.14.7
    Further Reading

    This section lists recommended readings and resources that provide deeper...

What we have learnt

  • The IEEE-754 standard provides a framework for representing floating-point numbers in computer systems.
  • Different formats of floating-point representation include single precision, double precision, and their extended forms.
  • Updates in IEEE-754r and the introduction of IEEE-854 highlight the evolution of standards to accommodate both binary and decimal data.

Key Concepts

-- IEEE754 Standard
A standard for floating-point arithmetic that ensures consistency in the representation and manipulation of real numbers in digital computers.
-- FloatingPoint Format
A way of representing real numbers in computers that can accommodate a wide range of values through the use of a sign bit, exponent, and mantissa.
-- Bias in Exponent
A method used in floating-point representation to allow for negative and positive exponent values, facilitating a wider range of representable numbers.
-- Decimal Formats
New representations introduced in the revision of IEEE-754 to accurately handle decimal data in computing environments.

Additional Learning Materials

Supplementary resources to enhance your learning experience.