DocumentCode
3020921
Title
OCF--A new coding algorithm for high quality sound signals
Author
Brandenburg, Karlheinz
Author_Institution
Universität Erlangen-Nürnberg, Erlangen, W.-Germany
Volume
12
fYear
1987
fDate
31868
Firstpage
141
Lastpage
144
Abstract
Optimum Coding in the Frequency domain (OCF) uses entropy coding of quantized spectral coefficients to efficiently code high quality sound signals with 3 bits/sample. In an iterative algorithm psychoacoustic weigthing is used to get the quantization noise to be masked in every critical band. The coder itself uses iterative quantizer control to get each data block to be coded with a fixed number of bits. Details about the OCF-Coder are presented together with information about the codebook needed and the training for the entropy coder. An algorithm for calculating a noise-to-mask ratio is presented which helps to identify, where quantization noise could be audible.
Keywords
Acoustic noise; Bit rate; Discrete cosine transforms; Frequency domain analysis; Iterative algorithms; Multiple signal classification; Music; Quantization; Speech; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
Type
conf
DOI
10.1109/ICASSP.1987.1169893
Filename
1169893
Link To Document