TAILIEUCHUNG - DISCRETE WAVELET TRANSFORMS - A COMPENDIUM OF NEW APPROACHES AND RECENT APPLICATIONS

Discrete Wavelet Transform is a wavelet (DWT) transform that is widely used in numerical and functional analysis. Its key advantage over more traditional transforms, such as the Fourier transform, lies in its ability to offer temporal resolution, . it captures both frequency and location (or time) information. This book presents a succinct compendium of some of the more recent variants of DWTs and their use to come up with solutions to an array of problems transcending the traditional application areas of image/video processing and security to the relatively newer areas of medicine, artificial intelligence, power systems and telecommunications | DISCRETE WAVELET TRANSFORMS - A COMPENDIUM OF NEW APPROACHES AND RECENT APPLICATIONS Edited by Awad Kh. Al - Asmari Discrete Wavelet Transforms - A Compendium of New Approaches and Recent Applications http 3424 Edited by Awad Kh. Al - Asmari Contributors Masahiro Iwahashi Hitoshi Kiya Chih-Hsien Hsia Jen-Shiun Chiang Nader Namazi Tilendra Shishir Shishir Sinha Rajkumar Patra Rohit Raja Devanshu Chakravarty Irene Lena Hudson In Kang Andrew Rudge J. Geoffrey Chase Gholamreza Anbarjafari Hasan Demirel Sara Izadpenahi Cagri Ozcinar Dr. Awad Kh. Al-Asmari Farhaan Al-Enizi Fayez El-Sousy Published by InTech Janeza Trdine 9 51000 Rijeka Croatia Copyright 2013 InTech All chapters are Open Access distributed under the Creative Commons Attribution license which allows users to download copy and build upon published articles even for commercial purposes as long as the author and publisher are properly credited which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech authors have the right to republish it in whole or part in any publication of which they are the author and to make other personal use of the work. Any republication referencing or personal use of the work must explicitly identify the original source. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials instructions methods or ideas contained in the book. Publishing Process Manager Iva Lipovic Technical Editor InTech DTP team Cover InTech Design team First published February 2013 Printed in Croatia A free online edition of this book is available at Additional hard copies can be obtained .

• Cơ khí - Chế tạo máy
• Time Series
• Signal Processing
• Wavelet Transform
• Fault Detection
• Image Denoising
• Wavelet Subbands
• Image Classification
• Econometric time series
• Applied econometric time series
• Lecture Applied econometric time series
• Chuỗi thời gian
• Kinh tế lượng
• Stationary time series models
• Intervention analysis
• Multiequation time series models
• Time Series Forecasting
• Components of Time Series
• Evaluation Methods of Forecast
• Smoothing Methods of Time Series
• Time series models
• Components of a time series
• Trend component
• An Overview on Time Series Data Mining
• Similarity Search in Time Series Data
• Feature based Dimensionality Reduction
• Other Time Series Data Mining Tasks
• Data Mining
• Cobweb model
• Modeling volatility
• Error correction models
• Nonlinear models
• Doctoral Dissertation
• Application of Markov chain models
• Markov chain models and fuzzy time series
• Time series modeling
• Fuzzy rules of time series
• Higher Markov chains
• Doctoral thesis summary
• Similarity search
• Time series stream
• Dynamic time warping
• Data normalization
• Multiple time series streams
• Time series prediction
• Combination of long short term memory
• Structural time series models
• Structural models
• Hybrid model
• Journal of Science and Technology
• The partitioning method
• Hedge algebras for fuzzy time series forecasting
• Fuzzy time series forecasting
• The accuracy of forecasting
• Forecasting time series
• Hedge algebras
• Particle swarm optimization
• Fuzzy time series
• Stochastic trends
• Models with trend
• Frequent temporal inter object pattern
• Temporal pattern tree
• Temporal pattern mining
• Support count
• Time series mining
• Time series rule mining
• Permanent water bodies mapping
• Seasonal time series C band SAR data
• Water bodies mappin
• Time series analysis
• Synthetic Aperture Radar
• Undergraduate econometrics
• Lecture Undergraduate econometrics
• Time series data
• Stationary time series
• Spurious regressions
• Nitrogen content
• Forecasting of nitrogen content
• Soil by hybrid time series model
• Hybrid time series model
• Stochastic time series model
• Autoregressive models
• Akaike information criterion
• Box Pierce portmanteau
• Autoregressive time series model
• Enrollment forecasting based
• Linguistic time series
• Forecasting model
• Linguistic logical relationship
• Machine learning techniques
• Quantitative share price prediction
• S uitability of ARIMA model
• Goodness of fit
• Modelling and structural time series model
• Structural time series model
• Chickpea production
• Forecasting of chickpea production