Systolic architectures for finite-state vector quantization

TitleSystolic architectures for finite-state vector quantization
Publication TypeJournal Articles
Year of Publication1993
AuthorsKolagotla RK, Yu SS, JaJa JF
JournalThe Journal of VLSI Signal Processing
Pagination249 - 259
Date Published1993///

We present a new systolic architecture for implementing Finite State Vector Quantization in real-time for both speech and image data. This architecture is modular and has a very simple control flow. Only one processor is needed for speech compression. A linear array of processors is used for image compression; the number of processors needed is independent of the size of the image. We also present a simple architecture for converting line-scanned image data into the format required by this systolic architecture. Image data is processed at a rate of 1 pixel per clock cycle. An implementation at 31.5 MHz can quantize 1024×1024 pixel images at 30 frames/sec in real-time. We describe a VLSI implementation of these processors.