It takes the average reader 3 hours and 20 minutes to read Noise Reduction by Wavelet Thresholding by Maarten Jansen
Assuming a reading speed of 250 words per minute. Learn more
Wavelet methods have become a widely spread tool in signal and image process ing tasks. This book deals with statistical applications, especially wavelet based smoothing. The methods described in this text are examples of non-linear and non parametric curve fitting. The book aims to contribute to the field both among statis ticians and in the application oriented world (including but not limited to signals and images). Although it also contains extensive analyses of some existing methods, it has no intention whatsoever to be a complete overview of the field: the text would show too much bias towards my own algorithms. I rather present new material and own insights in the questions involved with wavelet based noise reduction. On the other hand, the presented material does cover a whole range of methodologies, and in that sense, the book may serve as an introduction into the domain of wavelet smoothing. Throughout the text, three main properties show up ever again: sparsity, locality and multiresolution. Nearly all wavelet based methods exploit at least one of these properties in some or the other way. These notes present research results of the Belgian Programme on Interuniver sity Poles of Attraction, initiated by the Belgian State, Prime Minister's Office for Science, Technology and Culture. The scientific responsibility rests with me. My research was financed by a grant (1995 - 1999) from the Flemish Institute for the Promotion of Scientific and Technological Research in the Industry (IWT).
Noise Reduction by Wavelet Thresholding by Maarten Jansen is 196 pages long, and a total of 50,176 words.
This makes it 66% the length of the average book. It also has 61% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 34 minutes to read Noise Reduction by Wavelet Thresholding aloud.
Noise Reduction by Wavelet Thresholding is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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