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)
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)
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)
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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