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Published on Sep 16, 2019


Multipliers are key components of many high performance systems such as FIR filters, microprocessors, digital signal processors, etc. A system's performance is generally determined by the performance of the multiplier because the multiplier is generally the slowest clement in the system. Furthermore, it is generally the most area consuming.

Hence, optimizing the speed and area of the multiplier is a major design issue. However, area and speed are usually conflicting constraints so that improving speed results mostly in larger areas.

This paper presents the methods required to implement a high speed and high performance parallel complex number multiplier. The designs are structured using Radix-4 Modified Booth Algorithm and Wallace tree.

These two techniques are employed to speed up the multiplication process as their capability to reduce partial products generation and compress partial product term by a ratio of 3:2

. Despite that, carry save-adders (CSA) is used to enhance the speed of addition process for the system. The system has been designed efficiently using VHDL codes for 16x16-bit signed numbers and successfully simulated and synthesized using ModelSim and Xilinx




Simulation: ModelSim

Synthesis: XiLinx

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