Both the fast Fourier transform and discrete wavelet transform have been used extensively for signal denoising. Therefore, comparing the two for the purpose of denoising an electrocardiogram is of high interest. In this report, we outline the theory that both methods are built on, as well as develop MATLAB codes able to denoise an electrocardiogram using both methods. It was shown that the discrete wavelet transform performed significantly better in this context, which shows why it is the preferred method.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-67274 |
| Date | January 2024 |
| Creators | Falk, Jonathan |
| Publisher | Mälardalens universitet, Akademin för utbildning, kultur och kommunikation |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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