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An Efficient VLSI Architecture for Convolution Based DWT Using MAC

机译:使用MAC的基于卷积DWT的高效VLSI架构

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The modern real time applications related to image processing and etc., demand high performance discrete wavelet transform (DWT). This paper proposes the floating point multiply accumulate circuit (MAC) based 1D/2D-DWT, where the MAC is used to find the outputs of high/low pass FIR filters. The proposed technique is implemented with 45 nm CMOS technology and the results are compared with various existing techniques. The proposed 8 x 8-point floating point 2-levels 2D-DWT achieves 27.6% and 83.7% of reduction in total area and net power respectively as compared with existing DWT [9].
机译:与图像处理等相关的现代实时应用需要高性能的离散小波变换(DWT)。本文提出了一种基于浮点乘法累加电路(MAC)的1D / 2D-DWT,其中MAC用于查找高/低通FIR滤波器的输出。所提出的技术是用45 nm CMOS技术实现的,并且将结果与各种现有技术进行了比较。与现有的DWT相比,拟议的8 x 8点浮点2级2D-DWT分别实现了总面积和净功率减少27.6%和83.7%的效果[9]。

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