Design and Analysis of a Low Power Binary Counter-based Approximate Multiplier Architecture
Anish Fathima. B1, Mahaboob2
1Anish Fathima.B, Assistant Professor, Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India
2Mahaboob.M, Assistant Professor, Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, India
Manuscript received on 26 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1028-1033 | Volume-8 Issue-9, July 2019 | Retrieval Number: H7203068819/19©BEIESP | DOI: 10.35940/ijitee.H7203.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Multiplication has become the fundamental arithmetic operation in modern electronic world. Many researches in Signal processing and image processing applications are looking for energy efficient architectures. These applications exhibit error tolerance thus laying foundation for approximation techniques. The proposed work utilizes a new binary counter for partial product accumulation in a segmentation based approximate multiplication technique. The fundamental building block of the counter is a 3-bit stack circuit, which combines each of “Logic 1” bits collectively, after which a stacking process is done to convert two 3-bit modules into a 6-bit stack module. The counter circuit is obtained by converting the bit stacks to binary counts, without any XOR gates on the critical line of operation. This leads to design of binary counters with effective yield of power and delay. Moreover, applying these counters for partial product accumulation in the approximate multipliers found to be more effective when compared with conventional techniques. In future, these counter based approximate multipliers can be utilized to design energy efficient filters for image processing and signal processing applications.
Keywords: Binary Counter Based Approximate Multiplication Segmentation Based Approximate Multiplier, Symmetric Stacking Technique
Scope of the Article: Low-power design