Name
Abstract | ||
|---|---|---|
We present a new design method for robust low-delay coding of autoregressive (AR) sources for transmission across erasure channels. It is a fundamental rethinking of existing concepts. It considers the encoder a mechanism that produces signal measurements from which the decoder estimates the original signal. The method is based on linear predictive coding and Kalman estimation at the decoder. We employ a novel encoder state-space representation with a linear quantization noise model. The encoder is represented by the Kalman measurement at the decoder. The presented method designs the encoder and decoder offline through an iterative algorithm based on closed-form minimization of the trace of the decoder state error covariance. The design method is shown to provide considerable performance gains, when the transmitted quantized prediction errors are subject to loss, in terms of signal-to-noise ratio (SNR) compared to the same coding framework optimized for no loss. The design method applies to stationary auto-regressive sources of any order. We demonstrate the method in a framework based on a generalized differential pulse code modulation (DPCM) encoder. The presented principles can be applied to more complicated coding systems that incorporate predictive coding as well. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TSP.2009.2025796 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
new design method,kalman measurement,index terms—linear predictive coding,joint source-channel coding,linear predictive coding,differential pulse code modulation,coding framework,novel encoder state-space representation,design method,kalman estimation,quantization.,complicated coding system,kalman filtering,decoder state error covariance,kalman framework,era- sure channels,erasure channel,predictive coding,kalman filters,noise,encoding,design methodology,decoding | Journal | 57 |
Issue | ISSN | ISBN |
11 | 1053-587X | 978-161-7388-76-7 |
Citations | PageRank | References |
5 | 0.49 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Arildsen | 1 | 28 | 8.21 |
| Manohar N. Murthi | 2 | 169 | 21.33 |
| Søren Vang Andersen | 3 | 103 | 14.62 |
| Søren Holdt Jensen | 4 | 1362 | 111.79 |