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Multiplierless implementation of 2-D FIR filters

机译:二维FIR滤波器的无乘法器实现

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In this paper, the multiplierless design of two-dimensional (2-D) FIR filters is studied. The adders that are used in place of multiplications are reduced by using the 2-D common subexpression elimination (CSE) method which is developed in this paper. This method decomposes the original filter into smaller filters and the output of each filter is scaled with an appropriate coefficient to form the original filter output. It is also shown in this paper that each step of this procedure is an NP-complete problem. Hence, 0-1 integer programming model for each step is formed. Since the solution of these models are time and memory consuming, heuristic algorithms have also been developed. The heuristic 2-D CSE method proves to be better than traditional implementations of 2-D filters in terms of adder count. Though power and performance analysis of the produced filters have not been made, it is estimated that power consumption of these filters will be low due to low interconnect density. Also, concurrent processing of data with small filters increase the overall filtering performance filter.
机译:本文研究了二维(2-D)FIR滤波器的无乘法器设计。通过使用本文开发的二维通用子表达式消除(CSE)方法,可以减少用于乘法的加法器。该方法将原始滤波器分解为较小的滤波器,并使用适当的系数对每个滤波器的输出进行缩放,以形成原始滤波器的输出。本文还表明,此过程的每个步骤都是一个NP完全问题。因此,形成每个步骤的0-1整数编程模型。由于这些模型的解决方案消耗时间和内存,因此还开发了启发式算法。事实证明,启发式二维CSE方法在加法器数量方面要优于传统的二维滤波器。尽管尚未对所生产的滤波器进行功率和性能分析,但据估计,由于互连密度低,这些滤波器的功耗将很低。同样,使用小型过滤器对数据进行并发处理会提高整体过滤性能。

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