A novel decoding procedure for real field error control codes in the presence of quantization noise

We propose a novel decoding technique for DFT-based error control codes, which is robust against quantization and additive noise. The proposed algorithm simultaneously determines the number and the positions of the corrupted samples. We show that in contrast to conventional decoding techniques, the proposed decoding method is stable in the presence of quantization and additive noise.