Scalable Video Transmission Over Wireless Channels Using 3-D SPIHT and LDPC Codes

In this paper, an important problem of efficient utilization of the available resources for video transmission over wireless channels is investigated. The popular 3-D Set Partitioning In Hierarchical Trees (3-D SPIHT) is used to produce a completely embedded video bit stream. A new channel coding technique employing low-density parity check (LDPC) codes and rate-compatible punctured convolutional (RCPC) codes/ cyclic redundancy check (CRC) is proposed for error-detection and correction. A flat-fading Rayleigh channel with additive white gaussian noise (AWGN) is modeled for transmission. The embedded bit stream is given unequal error protection (UEP) and the rate-distortion optimization algorithm is developed and carried out for the selection of source coding rate and the channel coding rate. The experimental results demonstrate the effectiveness of this system under different wireless channel conditions for video transmission and are seen to be better than the classical technique of using RCPC/CRC.