Add like
Add dislike
Add to saved papers

Design of efficient binary multiplier architecture using hybrid compressor with FPGA implementation.

Scientific Reports 2024 April 12
In signal processing applications, the multipliers are essential component of arithmetic functional units in many applications, like digital signal processors, image/video processing, Machine Learning, Cryptography and Arithmetic & Logical units (ALU). In recent years, Profuse multipliers are there. In that, Vedic multiplier is one of the high-performance multiplications and it is used to signal/image processing applications. In order to ameliorate the performance of this multiplier further, by proposed a novel multiplier using hybrid compressor. The proposed hybrid compressor-based multiplier is designed and implemented in Field programmable Gate Array (FPGA-spartan 6). The synthesis result shows that the speed of proposed hybrid compressor-based multiplier gets improved as compared to Array multiplier (35.83%), Wallace tree multiplier (34.58%), Vedic Multiplier based on Carry look ahead adder (CLA) (28.49%), Vedic Multiplier based on Ripple carry adder (RCA) (20.65%), Booth Multiplication (21.65%) and Vedic Multiplication based on Han-Carlson Adder (HCA) (20.10%) and Hybrid multiplier using Carry Select Adder (CSELA) (17.81%) and Hybrid Vedic Multiplier (7.15%).

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app