A Matched FIR Filter Bank for Audio Coding.

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 transparent coding of high-quality audio, signals sampled at 44.1 KHz - 16 bits PCM, at bit rates of about 54 - 64 Kbps. The matched filter-bank makes a time-frequencyshape analysis, reducing the number of sub-bands requiring quantization. The decoder that implements this algorithm works effectively in real time. This reassures the efficacy of our technique.

• Type: Conference
• Year: 2005
• Where: ISM
• Authors: Rodrigo Capobianco Guido, Lucimar Sasso Vieira, Fabrício Lopes Sanchez, Jan Frans Willem Slaets, Lyrio Onofre Almeida, Adilson Gonzaga, Marcelo Bianchi
• Keywords: ISM 2005, Lossy Compression Algorithm, Wavelet-packet-like filter Banks, finite Impulse Response