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This chapter discusses number representation in computers, focusing on floating-point representation, biased exponents, and normalization. It highlights the IEEE 754 standard for both single (32-bit) and double (64-bit) formats, while also covering integer and character representations through various coding systems like ASCII, EBCDIC, and UNICODE. Furthermore, it addresses accuracy and range related to floating-point numbers, and introduces different number encoding in computing.
Chapter 917 sections
This chapter discusses number representation in computers, focusing on floating-point representation, biased exponents, and normalization. It highlights the IEEE 754 standard for both single (32-bit) and double (64-bit) formats, while also covering integer and character representations through various coding systems like ASCII, EBCDIC, and UNICODE. Furthermore, it addresses accuracy and range related to floating-point numbers, and introduces different number encoding in computing.
Floating-point numbers consist of three components: sign bit, biased exponent, and significand.
IEEE 754 specifies the formatting for floating-point numbers, impacting precision and range.
Various coding systems such as ASCII and UNICODE are essential for character representation in computers.
A method of representing real numbers in computers that includes a sign, a significand, and an exponent.
An adjustment of the exponent in floating-point representation, which allows storing both positive and negative exponents as positive numbers.
A technical standard for floating-point computation which defines formats for representing floating point numbers, including precision and rounding.
A character encoding standard that assigns a unique number to every character for consistent representation across different systems.
Total Questions
2
Estimated Time
4 min
Passing Score
70%
1 more question available