Fixed Point Representation In computers, fixed-point representation is a real data type for numbers. Fixed point representation can convert data into binary form, and then the data is processed, stored, and used by the computer. It has a fixed number of bits for the integral and fractional parts.
- What is fixed-point representation Explain with examples?
- Why fixed-point representation?
- What is fixed and floating-point?
- What is Floting point representation?
What is fixed-point representation Explain with examples?
In computing, fixed-point is a method of representing fractional (non-integer) numbers by storing a fixed number of digits of their fractional part. Dollar amounts, for example, are often stored with exactly two fractional digits, representing the cents (1/100 of dollar).
Why fixed-point representation?
In fixed point notation, there are a fixed number of digits after the decimal point, whereas floating point number allows for a varying number of digits after the decimal point. This representation has fixed number of bits for integer part and for fractional part.
What is fixed and floating-point?
The term 'fixed point' refers to the corresponding manner in which numbers are represented, with a fixed number of digits after, and sometimes before, the decimal point. With floating-point representation, the placement of the decimal point can 'float' relative to the significant digits of the number.
What is Floting point representation?
Computer Graphics
The description of binary numbers in the exponential form is called floating-point representation. The floating-point representation breaks the number into two parts, the left-hand side is a signed, fixed-point number known as a mantissa and the right-hand side of the number is known as the exponent.