A Study on the Best Wavelet for Audio Compression

Autor: Carlos Dias Maciel, Thais Lorasqui Scarpa, Marcio Alonso Borges Guilherme, Lucimar Sasso Vieira, Sankaran Panchapagesan, Emerson Jesus Rodrigues de Moura, Rodrigo Capobianco Guido, Kim Inocencio Cesar Sergio, Mauricio Monteiro, Sylvio Barbon Junior, Everthon Silva Fonseca, José Carlos Pereira, Paulo Cesar Fantinato
Rok vydání: 2006
Předmět:
Zdroj: 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.
DOI: 10.1109/acssc.2006.355141
Popis: This paper proposes a new low cost algorithm for searching the minimum bit rate wavelet-packet representation to encode high quality general audio in a perceptual sense. Our study proposes the use of a particular family of wavelets, and the adaptive choice of the corresponding filters' length, according to the proposed cost function and the input audio file being encoded.
Databáze: OpenAIRE