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19992011
most citedFeatures in the Primordial Spectrum from WMAP: A Wavelet Analysis

75 citations · 278 across the 22 of their papers we have counts for

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6 papers · 1 filter

nlin.CD20101 cited

A Fast Statistical Method for Multilevel Thresholding in Wavelet Domain

Madhur Srivastava, Prateek Katiyar, Yashwant Yashu +2

An algorithm is proposed for the segmentation of image into multiple levels using mean and standard deviation in the wavelet domain. The procedure provides for variable size segmen…

nlin.CD20068 cited

Correlations and periodicities in Himalayan tree ring widths and temperature anomalies through wavelets

Prasanta K. Panigrahi, P. Manimaran, Ananth Lakhmi +1

We have studied periodicities and correlation properties of tree ring width chronology of deodar tree from Joshimath (1584 - 1999 years) and Uttarkashi (1500 - 2002 years) in the w…

nlin.CD2006

Difference in nature of correlation between NASDAQ and BSE indices

P. Manimaran, Prasanta K. Panigrahi, Jitendra. C. Parikh

We apply a recently developed wavelet based approach to characterize the correlation and scaling properties of non-stationary financial time series. This approach is local in natur…

nlin.CD2006

Multiresolution analysis of fluctuations in non-stationary time series through discrete wavelets

P. Manimaran, Prasanta K. Panigrahi, Jitendra C. Parikh

We illustrate the efficacy of a discrete wavelet based approach to characterize fluctuations in non-stationary time series. The present approach complements the multi-fractal detre…

nlin.CD2005

Forecasting non-stationary financial time series through genetic algorithm

M. B. Porecha, P. K. Panigrahi, J. C. Parikh +2

We utilize a recently developed genetic algorithm, in conjunction with discrete wavelets, for carrying out successful forecasts of the trend in financial time series, that includes…

nlin.CD2004

Wavelet analysis and scaling properties of time series

P. Manimaran, Prasanta K. Panigrahi, Jitendra C. Parikh

We propose a wavelet based method for the characterization of the scaling behavior of non-stationary time series. It makes use of the built-in ability of the wavelets for capturing…