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puchalski d wavelet theory principles applications 2021

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Textbook in PDF format List of Contributors Preface Wavelet-Based Analysis on the Complexity of Hydrologic Series Data under Multi-Temporal Scales Abstract Introduction Methods Results and Discussion Conclusions Acknowledgements References Statistical Wavelet-Based Anomaly Detection in Big Data with Compressive Sensing Abstract Introduction Background and Anomaly Detection Procedure Experiment Results Conclusions References Adaptive Wavelet Transform Method to Identify Cracks in Gears Abstract Introduction Wavelet Analysis Wavelet Denoising Practical Example Conclusion References Automatic Small Bowel Tumor Diagnosis By Using Multi-Scale Wavelet-Based Analysis In Wireless Capsule Endoscopy Images Abstract Background Methods Results And Discussion Conclusions Acknowledgements References Medical Image Fusion via an Effective Wavelet-Based Approach Abstract Introduction Image Fusion Based on Wavelet Transform The Proposed Fusion Method Experimental Results and Analysis Conclusions Acknowledgments References Magnitude-Phase Of The Dual-Tree Quaternionic Wavelet Transform For Multispectral Satellite Image Denoising Abstract Introduction Summary of the Quaternionic Wavelet Theory Incorporating Selective Neighboring Wavelet Coefficients and Phase Regularization in Image Denoising Multispectral Image Denoising by the Dt-Qwt and the Neighshrink/Phase Regularization Algorithm Results and Discussion Conclusions Acknowledgements References Task-Related Functional Connectivity In Autism Spectrum Conditions: An Eeg Study Using Wavelet Transform Coherence Abstract Background Methods Results Discussion Conclusions Acknowledgements References New Application Of Wavelets In Magnetotelluric Data Processing: Reducing Impedance Bias Abstract Background Methods Real Data Application Conclusion Acknowledgements References Application Of -D Discrete Wavelet Transform Based Compressed Sensing Matrices For Speech Compression Abstract Introduction Compressed Sensing (CS) Framework Experimental Results and Discussion Conclusions Acknowledgements Abbreviations References Research on Application of Multimedia Image Processing Technology Based on Wavelet Transform Abstract Introduction Proposed Method Experimental Results Discussion Conclusions Acknowledgements References Citations Index

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Puchalski D. Wavelet Theory. Principles and Applications 2021.pdf 7.9 MB

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puchalski d wavelet theory principles applications 2021

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