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In this paper, fast multiple forward transform algorithms and their hardware sharing designs for 2×2, 4×4, and 8×8 forward transforms in H.264/AVC, and the 8×8 forward transform in AVS, 4×4 and 8×8 forward transforms in VC-1, and DCT in JPEG, MPEG-1/2/4 are developed with a cost effective hardware for the multi-standard video encoding applications. By only shift-and-addition computations, the proposed...
Acoustic imaging is a computationally intensive and ill-conditioned inverse problem, which involves estimating high resolution source distributions with large microphone arrays. We have recently shown how to significantly accelerate acoustic imaging under a far-field approximation using fast transforms. This paper generalizes our previous work to obtain computationally efficient and accurate transforms...
Acoustic imaging is a computationally intensive and ill-conditioned inverse problem, which involves estimating high resolution source distributions with large microphone arrays. In this paper we show how to significantly decrease its computational cost with a fast transform designed for separable array geometries. This transform provides a natural and elegant way of accelerating beamforming, deconvolution...
Sparse recovery techniques have been shown to produce very accurate acoustic images, significantly outperforming traditional deconvolution approaches. However, so far these proposals have been computationally intractable for all but very small images, because they had no means of efficiently transforming back and forth between a hypothetical image under reconstruction and the measured data. In this...
An auditory-based transform is presented in this paper. Through an analysis process, the transform coverts time-domain signals into a set of filter bank output. The frequency responses and distributions of the filter bank are similar to those in the basilar membrane of the cochlea. Signal processing can be conducted in the decomposed signal domain. Through a synthesis process, the decomposed signals...
The main drawback of the XML format seems to be its verbosity, a key problem especially in case of large documents. Therefore, efficient encoding of XML constitutes an important research issue. In this work, we describe a preprocessing transform meant to be used with popular LZ77-style compressors. We show experimentally that our transform, albeit quite simple, leads to better compression ratios than...
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