Double density

Double density, often shortened DD, is a capacity designation on magnetic storage, usually floppy disks. It describes the use of an encoding (or… (More)
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Topic mentions per year

Topic mentions per year

1966-2017
051019662017

Papers overview

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2014
2014
The wavelet transform is a well-known tool that can be used for many signal processing applications. This paper investigates the… (More)
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2013
2013
Undersampling k-space data is an efficient way to speed up the magnetic resonance imaging (MRI) process. As a newly developed… (More)
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2011
2011
This paper presents removal of additive gaussian noise by complex double density dual tree discrete wavelet Transform. However… (More)
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2008
2008
Watermarking methods in transform domains are usually achieved using the discrete cosine transform or the discrete wavelet… (More)
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2007
2007
Texture classification plays an important role in image analysis. The wavelet is a very efficient multiscale analysis method that… (More)
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2005
2005
This paper describes an efficient and adaptive method of threshold estimation for removing impulse noise from images, based on… (More)
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Highly Cited
2004
Highly Cited
2004
This paper introduces the double-density dual-tree discrete wavelet transform (DWT), which is a DWT that combines the double… (More)
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2003
2003
We look at the design of oversampled filter banks and the resulting framelets. The undecimated wavelet transform is known for its… (More)
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Highly Cited
2001
Highly Cited
2001
This chapter takes up the design of discrete wavelet transforms based on oversampled filter banks. In this case the wavelets form… (More)
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2001
2001
This paper introduces the double-density dual-tree DWT, a discrete wavelet transform that combines the double-density DWT and the… (More)
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