This degree project deals with Wavelet transform and Karhunen-Loeve transform. Through the mathematic description to understand and simulation to investigate the denoise ability of WT and the de-correlation ability of KLT. Mainly prove that the new algorithm which is the joint of these two algorithms is feasible.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hkr-9752 |
| Date | January 2012 |
| Creators | Jin, Shasha, Gaoding, Ningcheng |
| Publisher | Högskolan Kristianstad, Sektionen för hälsa och samhälle, Högskolan Kristianstad, Sektionen för hälsa och samhälle |
| 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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