PARTIAL PRODUCT PERFORATION TECHNIQUE FOR EFFICIENT HIGH SPEED AND LOW POWER APPROXIMATE MULTIPLICATION CIRCUITS
Partial product perforation, Dadda multiplier, 10 TAP FIR filter.
Partial product perforation is a technique used for designing approximate multiplication circuits by omiting the generation of some partial products. Product perforation technique is applied on different multiplier circuits, i.e., array multiplier, wallace tree multiplier, DADDA multiplier and the optimal architecture is exposed. Simulation results shows that the partial product perforation method reduces, area by 45%, power by 50% and critical delay by 35% than accurate multiplier. DADDA multiplier results as the best multiplier and it is applied in 10 TAP FIR filter. In addition, the product perforation method is compared with state-of-the-art approximation circuits, i.e., truncation, voltage overscaling, and logic approximation, showing that it outperforms them in terms of power dissipation and error. This technique is scalable, offering better results as multipliers bit width increases. Multiplication process is often used in digital signal processing system, microprocessors design, communication system, and other application specific integrated circuits. Multipliers has complex units and play an important role in deciding the overall area, speed and power consumption of digital design.
"PARTIAL PRODUCT PERFORATION TECHNIQUE FOR EFFICIENT HIGH SPEED AND LOW POWER APPROXIMATE MULTIPLICATION CIRCUITS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 3, page no.189 - 195, March-2017, Available :https://ijsdr.org/papers/IJSDR1703029.pdf
Volume 2
Issue 3,
March-2017
Pages : 189 - 195
Paper Reg. ID: IJSDR_170095
Published Paper Id: IJSDR1703029
Downloads: 000347160
Research Area: Engineering
Country: TIRUPATTUR, VELLORE DT, TAMILNADU, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
