Title :
Signal compression based on Fourier transform vector quantization
Author :
Rak, Remigiusz J.
Author_Institution :
Warsaw Univ. of Technol., Poland
Abstract :
The basic subject of this paper is devoted to the construction, realization and investigations of two algorithms for Fourier transform vector quantization design procedure. The first one is based on the quantization of real and imaginary parts and the second on the magnitude and phase parts of the FFT result. Achievements in the area of data compression in both cases are discussed
Keywords :
data compression; fast Fourier transforms; vector quantisation; FFT; Fourier transform vector quantization; VQ; data compression; imaginary part quantisation; magnitude; phase; real part quantisation; signal compression; Bit rate; Data compression; Discrete Fourier transforms; Ear; Fourier transforms; Humans; Image storage; Signal processing algorithms; Speech; Vector quantization;
Conference_Titel :
Electrotechnical Conference, 1994. Proceedings., 7th Mediterranean
Conference_Location :
Antalya
Print_ISBN :
0-7803-1772-6
DOI :
10.1109/MELCON.1994.381134