On Predictive Coding for Erasure Channels Using a Kalman Framework

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 origina...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 57; no. 11; pp. 4456 - 4466
Main Authors:	Arildsen, T., Murthi, M.N., Andersen, S.V., Jensen, S.H.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.11.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithm design and analysis Applied sciences Channels Coders Coding Coding, codes Decoders Design engineering Design methodology Detection, estimation, filtering, equalization, prediction Differential pulse code modulation (DPCM) Encoders erasure channels Errors Exact sciences and technology Information, signal and communications theory Iterative decoding joint source-channel coding Kalman filtering Kalman filters Linear predictive coding Mathematical models Modulation, demodulation Predictive coding Propagation losses Pulse modulation Quantization Robustness Sampling, quantization Signal and communications theory Signal, noise Studies Telecommunications and information theory Performance evaluation Iterative method Autoregressive model Joint source channel coding Linear model Codec Covariance Signal quantization Off line Kalman filtering Delay time quantization joint source-channel coding Transmission channel Linear predictive coding Decoding Algorithm Pulse code modulation Quantization noise Differential pulse code modulation (DPCM) Predictive coding Signal processing erasure channels Differential modulation Signal to noise ratio
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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