Diagnosing heterogeneous dynamics for wind particle trajectory in wavelet domain

In this paper the dynamical changes of wind speed from summer to rainy season due to arrival of monsoon has been described. Wavelet transform based method identifies local dynamics of interest. This is accomplished using strong thresholding, whose advantage is to avoid the arbitary threshold that might conceal variability in raw data. Wavelet local maxima approach differentiates the seasonal variations due to arrival of monsoon. The results are furthur verified with Energy spectrum vs day plots for different seasons which also confirm the substantial changes.

[1]  Paul C. Liu,et al.  Wavelet Transforms and Ocean Current Data Analysis , 1996 .

[2]  S. Mukhopadhyay,et al.  Discrete Hilbert Transform as Minimum Phase Type Filter for the forecasting and the characterization of wind speed , 2012, 2012 International Conference on Communications, Devices and Intelligent Systems (CODIS).

[3]  Prasanta K. Panigrahi,et al.  Wavelet and multi-fractal based analysis on DIC images in epithelium region to detect and diagnose the cancer progress among different grades of tissues , 2014, Photonics Europe.

[4]  Prasanta K. Panigrahi,et al.  Wind Speed Data Analysis for Various Seasons during a Decade by Wavelet and S transform , 2013, ArXiv.

[5]  Truong Q. Nguyen,et al.  Wavelets and filter banks , 1996 .

[6]  Sabyasachi Mukhopadhyay,et al.  Optimized Use of Solar Tracking System and Wind Energy , 2012 .

[7]  Paritosh Bhattacharya,et al.  Weibull Distribution for Estimating the Parameters and Application of Hilbert Transform in case of a Low Wind Speed at Kolaghat , 2011 .

[8]  P. Manimaran,et al.  Correlations and periodicities in Himalayan tree ring widths and temperature anomalies through wavelets , 2006 .

[9]  S. Mukhopadhyay,et al.  HEATED WIND PARTICLE 'S BEHAVIOURAL STUDY BY THE CONTINUOUS WAVELET TRANSFORM AS WELL AS THE FRACTAL ANALYSIS , 2013 .

[10]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[11]  David Lindley,et al.  CBMS-NSF REGIONAL CONFERENCE SERIES IN APPLIED MATHEMATICS , 2010 .

[12]  Debadatta Dash,et al.  A comparative study between seasonal wind speed by Fourier and Wavelet analysis , 2014, ArXiv.

[13]  Nandan Kumar Das,et al.  Study of the Dynamics of Wind Data Fluctuations: A Wavelet and MFDFA Based Novel Method , 2014 .

[14]  C. Burrus,et al.  Introduction to Wavelets and Wavelet Transforms: A Primer , 1997 .

[15]  Prasanta K. Panigrahi,et al.  Pre-cancer detection by wavelet transform and multi-fractality in various grades of DIC stromal images , 2014, Photonics West - Biomedical Optics.

[16]  Shafiqur Rehman,et al.  Wind Speed Simulation Using Wavelets , 2005 .

[17]  S. Mallat.  A wavelet tour of signal processing , 1998 .