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ExampleDriven Bandwidth Expansion
, 2008
"... In this paper we present an exampledriven algorithm that allows the recovery of wide regions of lost spectral components in bandlimited signals. We present a generative spectral model which allows the extraction of salient information from audio snippets, and then apply this information to enhance ..."
Image Scrambling Without Bandwidth Expansion
"... Abstract—Imagescrambling schemes are designed to render the image content unintelligible. Wyner has proposed an elegant onedimensional (1D) scrambling scheme without bandwidth expansion, making use of the discrete prolate spheroidal sequences (DPSS). The DPSS are optimal regarding their energy co ..."
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Cited by 1 (0 self)
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Abstract—Imagescrambling schemes are designed to render the image content unintelligible. Wyner has proposed an elegant onedimensional (1D) scrambling scheme without bandwidth expansion, making use of the discrete prolate spheroidal sequences (DPSS). The DPSS are optimal regarding their energy
Sampling of Communication Systems with Bandwidth Expansion
 IN PROC. OF THE IEEE CONFERENCE ON COMMUNICATION
, 2002
"... Many communication systems are bandwidthexpanding: the transmitted signal occupies a bandwidth larger than the symbol rate. The sampling theorems of Kotelnikov, Shannon, Nyquist et al. [1] shows that in order to represent a bandlimited signal, it is necessary to sample at what is popularly referred ..."
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Cited by 10 (6 self)
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Many communication systems are bandwidthexpanding: the transmitted signal occupies a bandwidth larger than the symbol rate. The sampling theorems of Kotelnikov, Shannon, Nyquist et al. [1] shows that in order to represent a bandlimited signal, it is necessary to sample at what is popularly referred
Projections, Dissections and Bandwidth Expansion Mappings
"... Abstract—We address the problem of constructing explicit mappings from a kdimensional continuous alphabet source to an ndimensional Gaussian channel. The source is assumed to be uniformly distributed on the unit cube [0, 1)k. The scheme considered is based on a family of piecewise linear mappings ..."
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. An example construction of a 2: n expansion mapping using the dissection technique is presented and is shown to exhibit optimal scaling of the MSE with the channel SNR. I.
Illconditioning and Bandwidth Expansion in Linear Prediction of Speech”,
 Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (Hong Kong),
, 2003
"... Abstract This report examines schemes that modify linear prediction (LP) analysis for speech signals. First techniques which improve the conditioning of the LP equations are examined. White noise compensation for the correlations is justified from the point of view of reducing the range of values w ..."
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Cited by 4 (1 self)
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is the method of choice it is both effective and simple. Other methods to prematurely terminate the iterative solution of the correlation equations for conditioning is minimal. This report also discusses bandwidth expansion of the prediction coefficients after LP analysis using radial scaling of the z
Cryptanalysis of an image scrambling scheme without bandwidth expansion
 IEEE Trans. Circuits Syst. Video Technol
, 2008
"... Abstract — Recently, a new image scrambling (i.e., encryption) scheme without bandwidth expansion was proposed based on twodimensional (2D) discrete prolate spheroidal sequences (DPSS). A comprehensive cryptanalysis is given here on this image scrambling scheme, showing that it is not sufficiently ..."
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Cited by 9 (2 self)
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Abstract — Recently, a new image scrambling (i.e., encryption) scheme without bandwidth expansion was proposed based on twodimensional (2D) discrete prolate spheroidal sequences (DPSS). A comprehensive cryptanalysis is given here on this image scrambling scheme, showing
BANDWIDTH EXPANSION WITH A PÓLYA URN MODEL
, 2007
"... We present a new statistical technique for the estimation of the high frequency components (48kHz) of speech signals from narrowband (04 kHz) signals. The magnitude spectra of broadband speech are modeled as the outcome of a Polya Urn process, that represents the spectra as the histogram of the o ..."
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Cited by 1 (1 self)
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We present a new statistical technique for the estimation of the high frequency components (48kHz) of speech signals from narrowband (04 kHz) signals. The magnitude spectra of broadband speech are modeled as the outcome of a Polya Urn process, that represents the spectra as the histogram of the outcome of several draws from a mixture multinomial distribution over frequency indices. The multinomial distributions that compose this process are learnt from a corpus of broadband (08kHz) speech. To estimate highfrequency components of narrowband speech, its spectra are also modeled as the outcome of draws from a mixturemultinomial process that is composed of the learnt multinomials, where the counts of the indices of higher frequencies have been obscured. The obscured highfrequency components are then estimated as the expected number of draws of their indices from the mixturemultinomial. Experiments conducted on bandlimited signals derived from the WSJ corpus show that the proposed procedure is able to aaccurately estimate the high frequency components of these signals.
BANDWIDTH EXPANSION WITH A PÓLYA URN MODEL
"... We present a new statistical technique for the estimation of the high frequency components (48kHz) of speech signals from narrowband (04 kHz) signals. The magnitude spectra of broadband speech are modelled as the outcome of a Pólya Urn process, that represents the spectra as the histogram of the ..."
Abstract
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We present a new statistical technique for the estimation of the high frequency components (48kHz) of speech signals from narrowband (04 kHz) signals. The magnitude spectra of broadband speech are modelled as the outcome of a Pólya Urn process, that represents the spectra as the histogram of the outcome of several draws from a mixture multinomial distribution over frequency indices. The multinomial distributions that compose this process are learnt from a corpus of broadband (08kHz) speech. To estimate highfrequency components of narrowband speech, its spectra are also modelled as the outcome of draws from a mixturemultinomial process that is composed of the learnt multinomials, where the counts of the indices of higher frequencies have been obscured. The obscured highfrequency components are then estimated as the expected number of draws of their indices from the mixturemultinomial. Experiments conducted on bandlimited signals derived from the WSJ corpus show that the proposed procedure is able to accurately estimate the high frequency components of these signals.
SPECTRUM SPREADING EFFECT OF BANDWIDTH EXPANSION ON SPECTRAL EFFICIENCY OF CELLULAR SYSTEMS
"... Abstract Based on a six eochannel interference model, this paper examines the effect of bandwidth expansiodspectrum spreading beyond the baseband, on the spectral efficiency of wideband and spread spectrum cellular systems. The improvement in the signal to noise ralio/protection ratio as a result ..."
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of bandwidth expansion is considered. The advantage in the protection ratio combined with the resulting expanded channel spacing are weighed using an equation devised by the authors to deduce whether or not such expansion is spectrally justifiable. Various analogue and digital systems,are considered
1Gaussian HDA Coding with Bandwidth Expansion and Side Information at the Decoder
"... PAPER AWARD – Lossy transmission of a Gaussian source over an additive white Gaussian (AWGN) channel with side information at the decoder is tackled under the regime of bandwidth expansion. A previously known scheme, hybrid digital/analog WynerZiv (HDAWZ) coding is shown to remain optimal when ex ..."
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PAPER AWARD – Lossy transmission of a Gaussian source over an additive white Gaussian (AWGN) channel with side information at the decoder is tackled under the regime of bandwidth expansion. A previously known scheme, hybrid digital/analog WynerZiv (HDAWZ) coding is shown to remain optimal when
Results 1  10
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29,900