EEG Signal Denoising based on Wavelet Transform using Xilinx System Generator - 2018 PROJECT TITLE :EEG Signal Denoising based on Wavelet Transform using Xilinx System Generator - 2018ABSTRACT:Low amplitude EEG signal are simply affected by varied noise sources. This work presents de-noising methods based on the combination of stationary wavelet remodel (SWT), universal threshold, statistical threshold and Discrete Wavelet Transform (DWT) with symlet, haar, coif, and bior4.4 wavelets. The results show important improvement in performance parameter like Signal to Artifacts ratio (SAR), Correlation Coefficient (CC) and Normalized Mean Squared error (NMSE). Simulink has been used to model DWT based de noising of EEG signal implementable on FPGA with Xilinx System Generator. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest FPGA Implementation of an Improved Watchdog Timer for Safety-critical Applications - 2018 An Approach to LUT Based Multiplier for Short Word Length DSP Systems - 2018
