Implementation of 24 bit high speed floating point vedic multiplier

The computational complexity of various data processing applications is vastly reduced when signals are represented in the frequency domain. In launch vehicle systems, FFT is required for telemetry data processing applications. Since the systems work in real time, a fast and efficient computation of the FFT is called for. FFT multiplication deals with Floating point numbers. Vedic mathematics is an ancient multiplication procedure which is widely used in every field that requires computations. The Urdhva Tiryakbhyam sutra is used because it will reduce computation time than conventional multipliers. Digital Signal Processing applications essentially require the multiplication of binary floating point numbers. For IEEE754 floating point multiplier implementation, Vedic Multiplication Method is used. The ease of multiplication of Mantissa part is done by Urdhva Tiryak bhyam method. This paper deals with the 24 bit floating point implementation using IEEE754 multiplication based on vedic mathematics and compare the result with conventional multiplier. Design and HDL coding was carried out using Verilog using the Libero IdeV9.1 project environment, natively used for the Actel Pro-Asic devices. The code synthesis was done using Synplify and simulation stage was done using Modelsim.