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Implementation of operand decomposition in signed logarithmic multipliers

机译:有符号对数乘法器中操作数分解的实现

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Digital signal processing applications mainly make use of multipliers which determine the overall performance of the system. The existing multiplier architectures are very complex and consume more time. Mitchell's Algorithm (MA) is a modest approach to compute the product using simple logarithmic operations and thus, achieving higher speed. Operand Decomposition (OD) reduces the switching activity and hence, achieves a better accuracy in fractional part calculation of logarithm. Divided Approximation (DA) and Table of Correction Values (TCV) are error correction approaches for MA which tries to follow the logarithmic curve more closely. Signed logarithmic multiplication using operand decomposition is proposed. The existing MA, DA and the proposed signed MA-OD, OD-DA, TCV are coded using Verilog HDL, simulated using ModelSim and synthesized using Xilinx XST. The simulated results are compared with respect to mean absolute error. The comparison results show that OD-DA and TCV significantly improve the accuracy of MA and found to decrease the mean absolute error of MA from around 5.36% to 1.7% and 1.33% respectively.
机译:数字信号处理应用程序主要利用乘法器来确定系统的整体性能。现有的乘法器体系结构非常复杂,并且消耗更多时间。 Mitchell的算法(MA)是使用简单的对数运算来计算乘积并因此实现更高速度的一种适度方法。操作数分解(OD)减少了切换活动,因此在对数的小数部分计算中实现了更高的精度。除数逼近(DA)和校正值表(TCV)是MA的纠错方法,它试图更严格地遵循对数曲线。提出了使用操作数分解的有符号对数乘法。现有的MA,DA和拟议的签名MA-OD,OD-DA,TCV使用Verilog HDL编码,使用ModelSim仿真,并使用Xilinx XST进行合成。将模拟结果相对于平均绝对误差进行比较。比较结果表明,OD-DA和TCV显着提高了MA的准确性,并发现MA的平均绝对误差分别从5.36%降低到1.7%和1.33%。

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