Wavelets in Signal and Image Analysis: From Theory to Practice

Preface. Part I: Wavelet Design. 1. Discrete-Time Wavelets; M. Doroslovacki. 2. The Double Density DWT; I.W. Selesnick. Part II: Multiscale Analysis, Estimation and Filtering. 3. Multiscale Bayesian Estimation and Data Rectification; S. Ungarala, B.R. Bakshi. 4. Empirical Tests for Evaluation of Multirate Filter Bank Parameters; C. Taswell. 5. Symmetry and Locality in Image Representation; R. Wilson. 6. Towards Bridging Scale-Space and Multiscale Frame Analyses; Y. Bao, H. Krim. 7. Wavelet Domain Features for Texture/Pattern Description, Classification and Replicability Analysis; L. Balmelli, A. Mojsilovic. 8. Wavelets for Image Fusion; S. Nikolov. Part III: Signal and Image Compression. 9. Transform Coding of Signals with Bounded Finite Differences: from Fourier to Walsh, to Wavelets; A. Petrosian. 10. Multi-layered Image Representation; F.G. Meyer, et al. 11. Image Compression Through Level Lines and Wavelet Packets; J. Froment. 12. Image Compression Using Spline Based Wavelet Transforms; A.Z. Averbuch, V.A. Zheludev. Part IV: Applications in Biomedicine and other Fields. 13. Spatio-Temporal Directional Analysis of Real-Time Three-Dimensional Cardiac Ultrasound; E. Angelini, A. Laine. 14. Wavelets for Computer-Aided Diagnosis in Radiographic Images; H. Yoshida. 15. Wavelet Analysis of Event Related Potentials for Early Diagnosis of Alzheimer's Disease; R. Polikar, et al. 16. An Application of the DWT in Seismic Data Analysis; P.J. Oonincx, et al. 17. Application of Wavelet Analysis to Condition Monitoring of Electromechanical Equipment; P. Kang.