Sir This is a complex engineering problem u can chose any data u want

Filtering is one of the most common applications in digital signal processing. Filters attenuate some of the undesired aspects of the signal partially or completely, or enhance some of the desired aspect of the signal. In context of electroencephalography (EEG) based signal processing, the undesired aspect is generally the noise coupled with the signal due to external and internal noise inducing factors and corrupts the useful information. Therefore, the goal of the filter in this scenario is to remove the frequencies related to noise from EEG signal. CEP Statement: Design a digital signal processing based system, which is capable to enhance the EEG signal quality by modifying its spectrum. In the planning stage, select the signal processing blocks to enhance the EEG signal quality and justify your selection. In the implementation stage specify the parameters of each block and justify why these parameters are chosen. Also analyze the noisy EEG signal and enhanced EEG signal after noise removal. Course WK PLO (WA) WP Bloom's Learning Level Digital Signal WK3, WK4 3 (Design) WP1, WP2, C6 Processing WP3, WP4, EP2 Deliverables: . . . Enhanced EEG signal without noise in edf format Complete working MATLAB code Project report addressing all requirements Pre-Requisite: To carry out the complex engineering problem you should have the knowledge and understanding of Sampling Frequency domain analysis (DFT and FFT) Digital filter design (FIR and IIR) MATLAB digital signal processing toolbox . Data Given: Noisy EEG signal in edf format Filtering is one of the most common applications in digital signal processing. Filters attenuate some of the undesired aspects of the signal partially or completely, or enhance some of the desired aspect of the signal. In context of electroencephalography (EEG) based signal processing, the undesired aspect is generally the noise coupled with the signal due to external and internal noise inducing factors and corrupts the useful information. Therefore, the goal of the filter in this scenario is to remove the frequencies related to noise from EEG signal. CEP Statement: Design a digital signal processing based system, which is capable to enhance the EEG signal quality by modifying its spectrum. In the planning stage, select the signal processing blocks to enhance the EEG signal quality and justify your selection. In the implementation stage specify the parameters of each block and justify why these parameters are chosen. Also analyze the noisy EEG signal and enhanced EEG signal after noise removal. Course WK PLO (WA) WP Bloom's Learning Level Digital Signal WK3, WK4 3 (Design) WP1, WP2, C6 Processing WP3, WP4, EP2 Deliverables: . . . Enhanced EEG signal without noise in edf format Complete working MATLAB code Project report addressing all requirements Pre-Requisite: To carry out the complex engineering problem you should have the knowledge and understanding of Sampling Frequency domain analysis (DFT and FFT) Digital filter design (FIR and IIR) MATLAB digital signal processing toolbox . Data Given: Noisy EEG signal in edf format