Meistverkauft in Mathematik
Über dieses Produkt
- KurzbeschreibungWavelet analysis found to have a variety of <br>applications. While other transforms such as the DCT <br>may achieve a better compression ratio, their rule <br>of zeroing small coefficients is applied evenly and <br>globally while in wavelet analysis, the rule of <br>zeroing can be applied locally, preserving small <br>coefficients that account for important minute <br>features (such as in fingerprints).<br>Starting with an introduction to wavelet analysis <br>and some related concepts useful for classification <br>the book provides a coverage of the theory <br>and mathematical foundations of wavelets, the Best <br>Basis, the Joint Best Basis, Principal Component <br>Analysis and the Approximate PCA as well as the <br>application of these tools to derive feature vectors <br>for the classification of mammographic images.<br>This book will be useful as a reference text and <br>will benefit both the audience whose interest is at <br>the conceptual level, as it provides a qualitative <br>description of the underlying ideas of wavelet <br>theory and the audience who is interested also in <br>the theory and mathematical foundations of wavelet <br>analysis and its applications.
- AutorSol Neeman
- Seiten144 Seiten
- Gewicht204 g
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