Abstract
Real convolutional codes, used in fault-tolerant signal processing applications and in communications systems with time-varying channel behavior, can be decoded by smoothed Kalman predictors. In either case, when syndromes exceed thresholds set by normal background noise, time-varying Kalman filter weights are applied to correct transient errors. >
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