Design an Approximate ROBA Multiplier for Digital Signal Processing Applicatons
Publication Date : 30/01/2018
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The need to support various digital signal processing (DSP)and classification applications on energy-constrained devices has steadily grown. Such applications often extensively perform matrix multiplications using fixed-point arithmetic while exhibiting tolerance for some computational errors. Hence, improving the energy efficiency of multiplications is critical. In this paper, we offer a similar speed, but with energy efficiency. The method is to collect the armature close to the closest momentum of two. An integral part of the computer, so the multiplication is eliminated, improving the speed and power consumption at a small error value. The proposed approach is to apply both signed and neglected. We offer three hardware implementations of an approximate multiplier that includes not being signed and signed for both operations. The effectiveness of this proposed multiplier is estimated by comparing its effectiveness with certain approximate and real-world by using different design parameters. In addition, the effect of the proposed approximate multipliers is examined in two applications for image processing, namely sharpness of the image.
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