TY - JFULL AU - Kyu Han Kim and Soon Kyu Kwon and Heung Sun Yoon and Jong Tae Kim PY - 2013/3/ TI - SystemC Modeling of Adaptive Least Mean Square Filter T2 - International Journal of Electronics and Communication Engineering SP - 112 EP - 117 VL - 7 SN - 1307-6892 UR - https://publications.waset.org/pdf/14455 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 74, 2013 N2 - 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. ER -