Fabrício Lopes Sanchez

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Towards an optimization-oriented approach for audio coding, this paper presents improved rate-distortion and perceptual strategies for bit allocation. The algorithm is based on best basis wavelet-packet trees and fractal dimension calculation. Transparent coding of high quality audio, signals sampled at 44.1 KHz using 16 bits PCM, is effectively achieved at(More)
Information processing has an important application which is speech recognition. In this paper, a two hybrid techniques have been presented. The first one is a 3-level hybrid of Stationary Wavelet Transform (S) and Discrete Wavelet Transform (W) and the second one is a 3-level hybrid of Discrete Wavelet Transform (W) and Multi-wavelet Transforms (M). To(More)
The paradigm of time-frequency-shape joint analysis of discrete-time signals, that is possible by means of a novel transform recently introduced, called Discrete Shapelet Transform (DST), is used in this paper for audio compression, improving the previous results obtained with wavelet bases. Both perceptual and rate-distortion criteria are considered,(More)
This paper describes a novel technique for audio coding, a lossy compression algorithm, that considers perceptual and rate-distortion criteria. It is based on matched finite impulse response (FIR) wavelet-packet-like filter banks, the filter coefficients being produced adaptively according to the input signal. This technique achieves perceptually(More)
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