Hardware implementation of trellis coded quantization

Author

Bhalwani, Nizar ; Fischer, Thomas R. ; Marcellin, Michael W.

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

fYear

1989

Firstpage

857

Abstract

An implementation of trellis coded quantization (TCQ) of memoryless sources on dedicated digital signal processing hardware is described. The effect of encoding delay (i.e. the TCQ symbol release rule) on the overall encoding performance is evaluated. It is shown that quite modest encoding delays cause negligible loss in performance, compared to very long (e.g. 1000 sample) trellis search depths. The hardware requirements of TCQ encoding are discussed. A TCQ implementation on the DSP32 and TMS32020 digital signal processing (DSP) integrated circuits is described. Analytical expressions are provided for the per source sample implementation complexity (in clock cycles) for each DSP integrated circuit

Keywords

digital signal processing chips; encoding; signal processing; DSP32; TMS32020; dedicated digital signal processing hardware; encoding delays; integrated circuits; memoryless sources; trellis coded quantization; Computational modeling; Delay effects; Digital signal processing; Distortion measurement; Encoding; Gaussian processes; Hardware; Quantization; Speech coding; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Conference_Location

Glasgow

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1989.266563

Filename

266563