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Fundamentals of wavelets. Theory, algorithms, and applications Andrew K. Chan, Jaideva C. Goswami
Publisher: Wiley

I expect a convergence between this task and wavelet theory and harmonic analysis. Fundamentals of wavelets : theory, algorithms, and applications. Theory, algorithms, and applications Wiley Series in Microwave and Optical Engineering Jaideva C. And their application to data mining. This way, we provide a " chemistry" interpretation for the data—the data vector is considered as a molecule, and it is decomposed into its few building fundamental elements. Chan 1999 Wiley ISBN13:9780471197485;ISBN10:0471197483. Fundamentals of Wavelets: Theory, Algorithms, and Applications. Current approaches for mining big data such as streaming have fundamental limitations on the kind of mining that can be performed. Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications (US $135.00). A key underlying theme will be the application of compressed and succinct data structures including FM-index, wavelet trees, compressed suffix arrays, XBW etc. Papers emphasizing theoretical foundations, algorithms, novel use of data compression, and applications are particularly welcome. -and- Fundamentals of Wavelets: Theory, Algorithms, and Applications, 2nd Edition (US $126.00). This topic has grown dramatically in the past decade, with many papers offering surprising theoretical results, interesting numerical algorithms, and many applications in various disciplines that benefit from this theory. The book is illustrated with numerous examples and applications which will help the reader to place protocols in their proper context.