Here is the listing of Best reference books on Wavelet Transforms.
|1. “Fundamentals of Wavelets: Theory Algorithms and Applications” by Goswami and Chan
Book Review: This book covers various concepts related to wavelets. The book contains theory, algorithms, applications and computer codes related to wavelets. The book contains a section that describes curvelets, ridgelets, lifting wavelets, lifting algorithms, edge detection applications and geophysical applications. The book also contains a section on multiresolution time domain method and many inverse problems.
|2. “Wavelet Transforms: Introduction to Theory and Applications” by Raghuveer M Rao, Ajit S Bopardikar
Book Review: This book provides the practical understanding of wavelets transforms and their properties to students, engineers and scientists. The book covers the concepts of signal processing, image processing and communications. The book very nicely explains the implementation of wavelet transforms and wavelet design for a given application. The book covers basic linear filtering principles to introduce the readers to continuous wavelet transform. The book also explains the concepts of multiresolution analysis, biorthogonal bases, wavelet packets and multiresolution analysis of images.
|3. “Introduction to Wavelets and Wavelet Transforms” by C Sidney Burrus, Ramesh A Gopinath, Guo
Book Review: This book needs a background of Fourier series and transforms, linear algebra and matrix methods. This book is well suited for graduate and undergraduate students, faculty, researchers in signal processing, telecommunications, computer science and applied mathematics. This book also presents the mathematical theory that underlies wavelet techniques and also explains why wavelets are successful in signal analysis, compression, detection, numerical analysis and many practical applications.
|4. “Wavelet Theory and its Applications” by Randy K Young
Book Review: This book explains the concept of complex method of interpolation and immediate spaces which in turn describes function spaces and their approximation properties. The book presents spectral projections which provide utility in various problems of numerical analysis, multidimensional signal processing, video data compression, reconstruction of high resolution images and high quality speech. The book is well suited for practitioners and non-specialists in the field of wavelet theory.
|5. “Subband and Wavelet Transforms: Design and Applications” by Ali N Akansu Smith Akansu|
|6. “Wavelet Transforms and Their Applications” by Debnath Lokenath|
|7. “Wavelet Transforms and Time-Frequency Signal Analysis” by Debnath Lokenath Debnath|
|8. “Wavelet Transforms and Localization Operators” by M. -W Wong, Man Wah Wong|
|9. “WAVELET TRANSFORM USING MATLAB” by Prof. Pooja Saxena|
|10. “Introduction to Wavelet Transform: A Signal Processing Approach ” by S. V. Narasimhan|
Sanfoundry Global Education & Learning Series – Best Reference Books!