高速乘法器使用嵌入式近似4-2压缩图像乘法

Thogiti Sai Aditya Teja, G. S. Teja, J. Ravindra, Lavanya Maddisetti
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引用次数: 0

摘要

乘法运算是数字滤波器和神经网络等各种应用中应用最广泛的运算。在某些应用(图像处理)中,不需要精确的计算,即使是低精度的计算也可以产生有意义的结果。由于近似计算复杂程度低、资源消耗少,可用于图像处理和多媒体应用。常规加法器比压缩加法器具有更长的临界延迟,使它们适合用于乘法器架构。在乘法运算中可以使用压缩器,以减少部分乘积的数量、延迟和功耗。在本研究中,我们提出了一个近似4:2压缩器的8×8 Dadda乘法器。在逐像素的基础上,这个乘法器用于将两个图像相乘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Speed Multiplier using Embedded Approximate 4-2 Compressor for Image Multiplication
Multiplication is the most widely used operation in a variety of applications such as digital filters and neural networks. In certain applications (image processing), precise computation is not required and, even low-accuracy computing can yield meaningful results. Since approximate computing is less complex and consumes less resources, it can be used in image processing and multimedia applications. Regular adders have a longer critical delay than compressor adders, making them suitable for use in multiplier architectures. Compressors can be employed in multiplication operations to reduce number of partial products, delay and power dissipation. We presented a 8×8 Dadda multiplier with an approximated 4:2 compressor in this research. On a pixel-by-pixel basis, this multiplier is used to multiply two images.
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