Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Manohar N. Murthiy"'
Publikováno v:
ICASSP
In a multi-agent data fusion scenario, agents may iteratively exchange their states to arrive at a consensus state which signifies `general agreement' among the agents. Agent states that are being exchanged may have been generated from hard (i.e., ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::688ac8be25c434fdeb64030cf21b7d01
https://doi.org/10.1109/icassp.2013.6638331
https://doi.org/10.1109/icassp.2013.6638331
Publikováno v:
DPS
Subasingha, S, Murthi, M N & Andersen, S V 2009, A Kalman filtering approach to GMM predictive coding of LSFS for packet loss conditions . in Proceedings of the 16th international conference on Digital Signal Processing . IEEE Press, pp. 434-439, DSP 2009: 16th International Conference on Digital Signal Processing, Santorini, Greece, 05/07/2009 . https://doi.org/10.1109/ICDSP.2009.5201111
Subasingha, S, Murthi, M N & Andersen, S V 2009, A Kalman filtering approach to GMM predictive coding of LSFS for packet loss conditions . in Proceedings of the 16th international conference on Digital Signal Processing . IEEE Press, pp. 434-439, DSP 2009: 16th International Conference on Digital Signal Processing, Santorini, Greece, 05/07/2009 . https://doi.org/10.1109/ICDSP.2009.5201111
Gaussian Mixture Model (GMM)-based vector quantization of Line Spectral Frequencies (LSFs) has gained wide acceptance in speech coding. In predictive coding of LSFs, the GMM approach utilizing Kalman filtering principles to account for quantization n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::718cc1ce2fb3ad4dc051743eef17fed0
https://doi.org/10.1109/icdsp.2009.5201111
https://doi.org/10.1109/icdsp.2009.5201111