This paper deals with distributed joint source-channel coding (DJSCC) of analog signals over impulsive noise channel. DJSCC, and distributed source coding (DSC), of analog sources is commonly realized by quantizing the source and using binary channel codes for coding, i.e., binning is realized in the binary domain. To achieve lower delay, we perform binning in the analog domain. Specifically, a single discrete Fourier transform (DFT) code is used both for compression and protection of signal. To do so, parity samples, with respect to a good systematic DFT code, are generated, quantized, and transmitted over a noisy channel. To improve the decoding performance, we leverage subspace-based error correction. The performance of the proposed system is analyzed for Gauss-Markov sources over impulsive noise channel.