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PPL
2006
77views more  PPL 2006»
13 years 11 months ago
Parallelization of Wavelet Filters Using Simd Extensions
Much work has been done to optimize wavelet transforms for SIMD extensions of modern CPUs. However, these approaches are mostly restricted to the vertical part of 2-D transforms w...
Rade Kutil, Peter Eder
ENGL
2007
130views more  ENGL 2007»
13 years 11 months ago
Wavelet Based Classification for Cancer Diagnosis
— We make use of discrete wavelets to extract distinguishing features between normal and cancerous human breast tissue fluorescence spectra. These are then used in conjunction wi...
Bhadra Mani, C. Raghavendra Rao, P. Anantha Lakshm...
CORR
2007
Springer
75views Education» more  CORR 2007»
13 years 11 months ago
Wavelet Based Semi-blind Channel Estimation For Multiband OFDM
— This paper introduces an expectation-maximization (EM) algorithm within a wavelet domain Bayesian framework for semi-blind channel estimation of multiband OFDM based UWB commun...
Sajad Sadough, Mahieddine Ichir, Emmanuel Jaffrot,...
INFORMATICALT
2006
364views more  INFORMATICALT 2006»
13 years 11 months ago
A Copyright Protection using Watermarking Algorithm
In this paper, a digital watermarking algorithm for copyright protection based on the concept of embed digital watermark and modifying frequency coefficients in discrete wavelet tr...
Aboul Ella Hassanien
IJON
2006
83views more  IJON 2006»
13 years 11 months ago
Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting
: We propose a wavelet multiscale decomposition based autoregressive approach for the prediction of one-hour ahead ahead load based on historical electricity load data. This approa...
D. Benaouda, Fionn Murtagh, Jean-Luc Starck, O. Re...
CORR
2006
Springer
146views Education» more  CORR 2006»
13 years 11 months ago
The Haar Wavelet Transform of a Dendrogram
While there is a very long tradition of approximating a data array by projecting row or column vectors into a lower dimensional subspace the direct approximation of a data matrix ...
Fionn Murtagh
BMCBI
2006
140views more  BMCBI 2006»
13 years 11 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
IAJIT
2008
191views more  IAJIT 2008»
13 years 11 months ago
Novel Image Compression Using Multiwavelets with SPECK Algorithm
: Compression is the process of representing information in a compact form so as to reduce the bit rate for transmission or storage while maintaining acceptable fidelity or data qu...
Sudhakar Radhakrishnan, Jayaraman Subramaniam
CSSC
2008
110views more  CSSC 2008»
13 years 11 months ago
Bayesian False Discovery Rate Wavelet Shrinkage: Theory and Applications
The interest in inference in the wavelet domain remains vibrant area of statistical research because of needs of scientific community to process and explore massive data sets. Prim...
Ilya Lavrik, Yoon Young Jung, Fabrizio Ruggeri, Br...
CORR
2010
Springer
241views Education» more  CORR 2010»
13 years 11 months ago
Haar Wavelet Based Approach for Image Compression and Quality Assessment of Compressed Image
With the increasing growth of technology and the entrance into the digital age, we have to handle a vast amount of information every time which often presents difficulties. So, the...
Kamrul Hasan Talukder, Koichi Harada