The side-match finite-state vector quantization (SMVQ) schemes improve performance over the vector quantization by exploiting the neighboring vector correlations within the image. In this paper, we propose a neural network side-match finite-state vector quantization (NN-SMVQ) scheme that combines the techniques of neural network prediction and the SMVQ coding method. In our coding scheme, the m...

The fixed-rate entropy-constrained vector quantizer draws its motivation from the large gap in the performance of the optimal entropy-constrained scalar quantizer (ESCQ) and the fixed-rate LMQ for most non-uniform sources and tries to bridge this gap while maintaining a fixed-rate output. Having a fixed-rate output avoids all problems associated with a variable rate output such as error propaga...

This paper presents a new audio coder that includes two techniques to improve the sound quality of the audio coding system. First, a forward masking model is proposed. This model exploits adaptation of the peripheral sensory and neural elements in the auditory system, which is often deemed as the cause of forward masking. In the proposed audio coder, the forward masking is first modeled by a no...

An efficient Block-based Trellis Quantization (BTQ) scheme is proposed for the quantization of the Line Spectral Frequencies (LSF) in speech coding applications. The scheme is based on the modeling of the LSF intraframe dependencies with a trellis structure. The ordering property and the fact that LSF parameters are bounded within a range is explicitly incorporated in the trellis model. BTQ sea...

The Matching Pursuits (MP) coding method has been employed successfully in video coding. In it, the motion compensated frame difference is decomposed on an overcomplete dictionary of atoms, generating a sequence of pairs specifying the atoms used and their corresponding coefficients. A particular rate distortion trade-off is achieved by setting both the number of atoms and the quantizers of the...

Subband coding has proven to be a powerful technique for medium bandwidth source encoding of speech. Recently, some promising results have been reported on the extension of this concept to the source coding of images. In this paper, a new two-dimensional subband coding technique is presented which is also applied to images. A frequency band decomposition of the image is carried out by means of ...

An efficient Block-based Trellis Quantization (BTQ) scheme is proposed for the quantization of the Line Spectral Frequencies (LSF) in speech coding applications. The scheme is based on the modelling of the LSF intraframe dependencies with a trellis structure. The ordering property and the fact that LSF parameters are bounded within a range is explicitly incorporated in the trellis model. BTQ se...

BACKGROUND The implementation of intensive and complex approaches to monitor large carnivores is resource demanding, restricted to endangered species, small populations, or small distribution ranges. Wolf monitoring over large spatial scales is difficult, but the management of such contentious species requires regular estimations of abundance to guide decision-makers. The integration of wolf ma...

Motivated by the question of the efficiency of dense sensor networks for sampling and encoding spatial random fields, this paper investigates the rates attainable by several lossy schemes for coding a Gaussian random field to a specified mean-squared error distortion based on sampling at asymptotically large rates. In the first, a densely sampled, spatio-temporal, stationary Gaussian source is ...