An adaptive filter is a filter that can adapt the given environment through self-learning process using optimization algorithm by adjusting the filter co-efficient of the input signal. Adaptive filter is the very essence for today’s different application such as Echo Cancellation, Noise Cancellation, System Identification and so on. In this paper we present the design and implementation of acoustic echo cancellation using the art of Xilinx Zynq platform Zed board and by applying a model-based design approach for hardware software co-simulation in Simulink.
Dawit Mamo Alemu, Dr. M. Madhavi Latha (2020); Design and Implementation of Acoustic Echo Cancellation on Xilinx Zynq for FPGA Co-simulation using LMS Adaptive Filter; International Journal of Scientific and Research Publications (IJSRP)
10(03) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.03.2020.p9903