Mexican hat wavelet

Known as: Mexican Hat Function, Ricker wavelet 
In mathematics and numerical analysis, the Ricker wavelet is the negative normalized second derivative of a Gaussian function, i.e., up to scale and… (More)
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Topic mentions per year

Topic mentions per year

1995-2017
051019952017

Papers overview

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2017
2017
Kernel extreme learning machine (KELM) is a novel feedforward neural network, which is widely used in classification problems. To… (More)
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2013
2013
QRS complex detection is usually the most important step for automated electrocardiogram (ECG) analysis. In this paper, we… (More)
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2012
2012
This paper systematically studies the well-known Mexican hat wavelet (MHW) on manifold geometry, including its derivation… (More)
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2011
2011
Image registration is an important and fundamental task in image processing used to match two different images. Given two or more… (More)
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2008
2008
We present an estimation of the point source (PS) catalogue that could be extracted from the forthcoming ESA Planck mission data… (More)
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2008
2008
We present a maximum–entropy method (MEM) and ‘Mexican Hat’ wavelet (MHW) joint analysis to recover the different components of… (More)
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2008
2008
The spherical Mexican Hat wavelet is introduced in this paper, with the aim of testing the Gaussianity of the Cosmic Microwave… (More)
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2007
2007
In this paper we present the results of object recognition using Mexican Hat wavelet descriptors. These descriptors are derived… (More)
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2006
2006
The arguments presented by González-Nuevo et al. (2006) in favour of theMexican Hat Wavelet Family (MHWF) are critically… (More)
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2005
2005
We propose a detection technique in 2D images based on an isotropic wavelet family. This family is naturally constructed as an… (More)
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