Analysis of Approximate Multiplier Using 15–4 Compressor for Error Tolerant Application
S. Pabithra, S Nageswari
Abstract
S. Pabithra, S Nageswari
Abstract
This paper presents 15-4 compressor. An approximate 5-3 compressor was used in the 15-4 compressor. It is less power consumption, So Approximate 5-3 compressors are used in four different ways in 15-4 compressor. In all the cases we have analyzed the results. The proposed 15-4 compressor is using in 16×16 bit multiplier simulation. By comparing the Simulation results show that accurate 15-4 compressor with proposed approximate compressors, the proposed approximate multiplier achieves more power. The proposed multipliers pass rate is high as compared to previous approximate multipliers. Finally, the peak signal to noise ratio (PSNR) of the image is measured in the proposed multiplier is used in image processing applications. Proposed approximate multiplier image is compared to accurate multiplier image. The proposed approximate multiplier results show better than existing approximate multiplier.
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This paper presents 15-4 compressor. An approximate 5-3 compressor was used in the 15-4 compressor. It is less power consumption, So Approximate 5-3 compressors are used in four different ways in 15-4 compressor. In all the cases we have analyzed the results. The proposed 15-4 compressor is using in 16×16 bit multiplier simulation. By comparing the Simulation results show that accurate 15-4 compressor with proposed approximate compressors, the proposed approximate multiplier achieves more power. The proposed multipliers pass rate is high as compared to previous approximate multipliers. Finally, the peak signal to noise ratio (PSNR) of the image is measured in the proposed multiplier is used in image processing applications. Proposed approximate multiplier image is compared to accurate multiplier image. The proposed approximate multiplier results show better than existing approximate multiplier.
Key concepts: Gas compressor, Multiplier (economics), Mathematics, Computer science, Power consumption, Algorithm, Power (physics), Engineering