Performance Analysis and Implementation of Approximate Multipliers on Spartan 6 FPGA

Multiplication is a frequently utilized mathematical operation in numerous applications, including signal processing, image processing, and multimedia applications, where multipliers are key components. The speed and large area typically limit their performance. Approximate computing has been critical. These programs are unable to take precise values in specific methods. In them, they like approximate values. Approximate computing methods are used to solve this problem. Approximate multipliers and compressors are constructed by utilizing approximate computation approaches. Because more complicated circuitry is used in many applications, such as DSP, these approximate multipliers and approximate compressors are useful. The suggested work is simulated with Verilog and synthesized with Xilinx ISE 14.6 before being implemented in Spartan – 6. The hardware, size, and speed performance of the suggested multipliers. Both signed and unsigned multipliers are subjected to the multipliers