Wireless channels are prone to errors due to the presence of noise, fading effects and interference. The quality of communication is degraded by these channel errors. To counter the effect of these channel errors we use the Forward Error Correction (FEC) codes. The perceptual video quality is influenced by not only the channel errors caused during transmission, but also by the compression artifacts. We have aimed to reduce the amount of channel errors in this thesis. In this thesis, we have used a H.264/AVC bit stream. The video bit stream consists of high and low priority bits. The high priority bits are given more protection and the low priority bits are given less protection. This is called as Unequal Error Protection (UEP). H.264/AVC bit stream is then modulated and sent over the channel. The high priority data gets protection from the asymmetric modulation and the low priority data gets convolutionally encoded. In this way we have provided protection to both high and low priority. The bit stream is then recovered at the receiver side. The Peak Signal to Noise Ratio (PSNR) of the recovered video is calculated. PSNR is used to estimate the quality of the recovered video. This scheme gives a 3 dB improvement when compared with the previous techniques.
