Noise sensitivity analysis for a novel error recovery technique

Many error correction codes and error recovery techniques have been developed to recover bursts of errors. Some of these codes are very robust and can recover the missing samples when a signal is transmitted via a noisy channel. The protected codewords sent to the receiver are subject to quantization noise due to the quantization of the protected samples. Also, these codewords suffer from degradation due to the additive channel noise. A robust burst error recovery technique similar to the Reed Solomon (RS) algorithm is presented in this paper with a comprehensive study of the sensitivity of this technique to quantization and additive white noise