Title :
A hardware pyramid vector quantizer
Author :
Qureshi, Qadeer ; Fischer, Thomas R.
Author_Institution :
Texas A&M University, College Station, TX
Abstract :
A single-chip, dedicated processor for implementation of pyramid vector quantization is presented. The computational requirements of the vector quantizer encoding algorithm are described, and a processor architecture and instruction set selected for efficient implementation of the vector quantization. The processor performance is characterized by analysis and simulation, with a general conclusion that for a state-of-the-art VLSI implementation, 64 dimensional vectors can be vector quantized at a sample rate of 16 kHz.
Keywords :
Algorithm design and analysis; Clustering algorithms; Computer architecture; Encoding; Geometry; Hardware; Laplace equations; Lattices; Performance analysis; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169527