LDPC based error resilient audio signal processing for wireless communication

The increasing growth of communication has fostered research on various methods to obviate noise from affecting the data transmitted over the link. Low Density Parity Check (LDPC) has gained popularity because of its property of exhibiting near Shannon limit performance when interpreted via iterative probabilistic algorithm. This paper presents a high performance and an enhanced LDPC based algorithm, for channel coding audio signals. The algorithm is designed so as to facilitate adaptive feature as a function of input audio size. It generates an encoded stream of data by arranging bits into data vectors and processing it with the designed LDPC matrix. The modulation scheme considered for transmitting the audio signal is Binary Phase Shift Keying (BPSK). The audio signal recovered at various Signal to Noise ratios (SNRs) is illustrated. The performance analysis of the algorithm delineates improved results for AWGN noise. The Bit Error Rate (BER) is estimated at different SNRs and BER Vs SNR graph is plotted to determine the efficacy of the algorithm.