ATI offers Wavelets: A Conceptual Practical Approach course on Jun 12-14, 2012 in Columbia, MD. We thought our reader might be interested in the fact that our instructor Amir Nijami released a new book called Wavelets: A Concise Guide. You can follow this link to purchase the book and receive 25% discount http://www.aticourses.com/Book_JHUPress.pdf
Introduced nearly three decades ago as a variable resolution alternative to the Fourier transform, awavelet is a short oscillatory waveform for analysis of transients. The discrete wavelet transformhas remarkable multi-resolution and energy-compaction properties. Amir-Homayoon Najmi’sintroduction to wavelet theory explains this mathematical concept clearly and succinctly.Wavelets are used in processing digital signals and imagery from myriad sources. They form thebackbone of the JPEG2000 compression standard, and the Federal Bureau of Investigation usesbiorthogonal wavelets to compress and store its vast database of fingerprints. Najmi provides themathematics that demonstrate how wavelets work, describes how to construct them, and discussestheir importance as a tool to investigate and process signals and imagery. He reviews key conceptssuch as frames, localizing transforms, orthogonal and biorthogonal bases, and multi-resolution.His examples include the Haar, the Shannon, and the Daubechies families of orthogonal andbiorthogonal wavelets.Our capacity and need for collecting and transmitting digital data is increasing at an astonishingrate. So too is the importance of wavelets to anyone working with and analyzing digital data.Najmi’s primer will be an indispensable resource for those in computer science, the physicalsciences, applied mathematics, and engineering who wish to obtain an in-depth understanding andworking knowledge of this fascinating and evolving field.
To receive a 25% discount, please send an email to ATI@ATIcourses.com requesting the discount form.