Course Content

Floating Point Unit Core for Signal Processing Applications

Abstract

Traditional computers data processing is limited by computer data input, output, storage, display. Further computing needs repeated binary-decimal conversions. With the expansion of data intensive computing needs of distributed computing, decimal computing of mass data is widely applied in banking, financial, signal processing, bio-medical, astronomy, geography, data acquisition and image compression and other fields. Independent decimal floating point unit is becoming important in these areas. A floating point unit is a part of a computer system specially designed to carry out operations on floating point numbers. Floating point unit have been implemented as a coprocessor rather than as an integrated unit in various systems. Today's floating point arithmetic operations are very important in the design of Digital Signal Processing and application[1]specific systems. As Fixed-Point arithmetic logics are faster and more area efficient, but sometimes it is desirable to implement calculation using Floating-Point numbers. In most of the digital signal processing applications addition and multiplication is done frequently. This paper presents a review of the Floating Point unit for a signal processing applications, which has faster rate of operations.