In this paper, the problem of blind separation of underdetermined noisy mixtures of audio sources is considered. The sources are assumed to be sparsely represented in a transform domain. The sparsity of their analysis coefficients is modelled by the Student t distribution. This prior allows for robust Bayesian estimation of the sources, the mixing matrix, the additive noise variance as well as ...

An approach for three robust and semi-blind digital video watermarking algorithms has been proposed in this paper. These algorithms are based on hybrid transforms using the combination of Discrete Cosine Transform and Singular Value Decomposition (DCTSVD), Discrete Wavelet Transform and Singular Value Decomposition (DWT-SVD) and Discrete Wavelet Transform, Discrete Cosine Transform and Singular...

We present a new family of biorthogonal wavelet transforms and a related library of biorthogonal symmetric wavelets. We employed the interpolatory continuous and discrete splines as a tool for devising a discrete biorthogonal wavelet scheme. The construction is based on the \lifting scheme" presented by Sweldens in [1]. The lifting scheme allows custom design and fast implementation of the tran...

Watermarking is one of the best solutions for copyright protection and authentication of multimedia contents. In this paper a hybrid scheme is proposed using wavelet and shearlet transforms with singular value decomposition. For better security, Arnold map is used for encryption. Examining the results and comparing with other methods show that this hybrid proposed scheme with simultaneous utili...

We present a novel technique for efficient coding of texture to be mapped on 3D landscapes. The technique enables to stream the data across the network using a back-channel. The use of Wavelet and Discrete Cosine Transforms is investigated and compared. This technology has been proposed has a tool for the emerging MPEG-4 standard.

This paper explains the effect of various multi-wavelet interpolation methods on digital images to enhance the resolution of the images. A high resolution image is a major challenge for any image processing application, especially in defense and medical scenario. Here resolution enhancement technique is done in wavelet domain using multi-wavelets and interpolation methods. Visual perception of ...

This paper introduces the use of adaptive multichannel discrete wavelet transforms (AMDWTs), allowing for a customized design of optimum mother wavelets, for the detection of a constituent absorption band within a hyperspectral curve. Even when the target’s amplitude is only 3% of the background signal’s amplitude, the AMDWT approach produces target detection rates of 90%.

The spectral distribution of energy varies between normal ECGs and those from patients post infarct or with ventricular hypertrophies. This suggests that discriminating between normal and abnormal conditions may be possible on the basis of differences in the distribution of spectral energy. We compare a reduced Discrete Wavelet Transform characterisation of an ECG QRS complex using three differ...