Shanker, Piyush A and Nanjundiah, Ravi S (2004) 2-D Complex Wavelet Transforms for Identification of Wave Like Features in Geophysical data. In: International Conference on Signal Processing and Communications:SPCOM '04, 11-14 December, Bangalore, India, pp. 214-217.
The power spectrum of a two-dimensional (2-D) space-time data set is computed using a 2-D extension of the Continuous Morlet Wavelet Transform. By means of this method,the power spectra: in 4-D space (spatial scale-time period-space-time) can be estimated. This method is very useful in analyzing waves as it enables us to track the variation of frequency and amplitude of a wave with time and space. The method has an added advantage that we can obtain the predominant spatial scales over a particular region, the temporal scales associated with them and their time of occurrence. An example of it’s application to study the features of poleward propagation of monsoons over the Indian longitudes and the pacific is given. This method can be extended for application to multi-dimensional datasets.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Department/Centre:||Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences|
|Date Deposited:||22 Aug 2008|
|Last Modified:||19 Sep 2010 04:35|
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