SystemC Modeling of Adaptive Least Mean Square Filter

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.

Authors:

• Kyu Han Kim
• Soon Kyu Kwon
• Heung Sun Yoon
• Jong Tae Kim

Keywords:

• Adaptive Filter
• Least-Mean-Square Algorithm
• SystemC
• Transversal Fir Filter.

References:

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2003
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Processing and Speech Communication Laboratory
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Study"
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Oct. 2003