SystemC Modeling of Adaptive Least Mean Square Filter

Authors: Kyu Han Kim, Soon Kyu Kwon, Heung Sun Yoon, Jong Tae Kim

Abstract:

In this paper, we demonstrate the adaptive least-mean-square (LMS) filter modeling using SystemC. SystemC is a modeling language that allows designer to model both hardware and software component and makes it possible to design from high level system of abstraction to low level system of abstraction. We produced five adaptive least-mean-square filter models that are classed as five abstraction levels using SystemC proceeding from the abstract model to the more concrete model.

Keywords: Adaptive Filter, Least-Mean-Square Algorithm, SystemC, Transversal Fir Filter.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083003

References:

[1] Micheal Hutson, "Acoustic Echo Cancellation Using Digital Signal Processing", submitted for the degree of Bachelor Engineering, Nov. 2003
[2] Christian Feldbauer, Franz Pernkopf, and Erhard Rank, "Adaptive Filters", A Tutorial for the Course Computational Intelligence ,Signal Processing and Speech Communication Laboratory
[3] J.R.Armstrong and Yuval Ronen, "Modeling With SystemC : A Case Study"
[4] Xu Ningyi and Zhou Zucheng, "A Methodology for SystemC Algorithmic Model Verification Applying MATLAB" , ASIC, 2003.Proceedings.International Conference On, volume 1, pp.294-297, Oct. 2003