This article presents dedicated hardware arithmetic operators for function evaluation. The proposed solution uses polynomial approximations with sparse coefficients which leads to efficient hardware implementations. Up to 2× faster and 8× smaller operators are reported compared to standard implementations. Introduction: Polynomial approximations are widely used in digital systems for function e...

We propose a fast reconstruction method for a subband-decomposed, progressive signal coding system. We show that unlike the conventional approach which requires a fixed computational complexity, the computational complexity of the proposed approach is proportional to the number of refined coefficients at each level of progression. Therefore, unrefined coefficients do not add to the computationa...

In this paper we propose the use of integer wavelet [2] as a decorrelation stage for adaptive context based lossless audio coding. The original wideband audio signal is first decomposed in wavelet subbands. The resulted coefficients are integer valued and therefore can be transmitted using an adaptive context based method, in a lossless manner, the decoder being able to reconstruct them and aft...

In this paper we propose the use of integer wavelet [2] as a decorrelation stage for adaptive context based lossless audio coding. The original wideband audio signal is first decomposed in wavelet subbands. The resulted coefficients are integer valued and therefore can be transmitted using an adaptive context based method, in a lossless manner, the decoder being able to reconstruct them and aft...

This paper proposes a tempo feature extraction method. The tempo information is modeled by the narrow-band, low-pass temporal modulation component, which is decomposed into a modulation spectrum via joint frequency analysis. In implementation, the modulation spectrum is directly estimated from the modified discrete cosine transform coefficients, which are output of partial MP3 (MPEG 1 Layer 3) ...

We describe a method for removing acoustic-optical image noise, based on a statistical model of the decomposed contourlet coefficients. This method proposes an alpha-stable multivariate shrinkage (MS) probability density function to model neighborhood contourlet coefficients. Then, according to the proposed PDF model, we design a maximum a posteriori (MAP) estimator, which relies on a Bayesian ...

We generalize a construction of Dunkl, obtaining a wide class intertwining functions on the symmetric group and a related family of multidimensional Hahn polynomials. Following a suggestion of Vilenkin and Klymik, we develop a tree-method approach for those intertwining functions. We also give a group theoretic proof of the relation between Hahn polynomials and Clebesh-Gordan coefficients, give...

In this paper, a hybrid method is proposed for multi-channel electroencephalograms (EEG) signal compression. This new method takes advantage of two different compression techniques: fractal and wavelet-based coding. First, an effective decorrelation is performed through the principal component analysis of different channels to efficiently compress the multi-channel EEG data. Then, the decorrela...

In this paper, a multimodal image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are decomposed into low-frequency coefficients and high-frequency coefficients by the dual-tree complex wavelet transform (DTCWT). Then, the high-frequency coefficients are fused by the maximum selection fusion rule. The low-frequenc...

A novel digital watermarking for ownership verification and image authentication applications using discrete wavelet transform (DWT) is proposed in this paper. Most previous proposed watermarking algorithms embed sequences of random numbers as watermarks. Here binary images are taken as watermark for embedding. In the proposed approach, the host image is converted into the YCbCr color space and...