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Abstract Image transmission through wireless channels may face severe adverse conditions, especially, burst error conditions, where errors are likely to occur in clusters caused by the multipath fading environment. To transmit data efficiently over wireless channels and combat the problems caused by the multipath fading environment, coding and interleaving techniques are required. There are several primary interleaving techniques such as block interleaving and helical interleaving. The performance of such simple interleavers is limited. So, there is a need for strong interleavers. Image Compression addresses the problem of reducing the amount of data required to represent the digital image. Compression is achieved by the removal of data redundancies. For the efficient transmission of an image across a channel, source coding in the form of image compression at the transmitter side and image recovery at the receiver side are the integral processes involved in any image communication system. Other processes like channel coding, signal modulation at the transmitter side and their corresponding inverse processes at the receiver side along with the channel equalization help greatly in minimizing the Bit Error Rate (BER) due to the effect of noise and bandwidth limitations. This thesis is devoted for the study of image transmission over wireless channels with both Orthogonal Frequency Division Multiplexing (OFDM) and Multi-Carrier Code Division Multiple Access (MC-CDMA). Both schemes are multi-carrier schemes, which are adopted in current and future mobile generations. The thesis presents a new chaotic interleaving scheme for efficient image transmission with both schemes. It also presents a study for the equalization process. Raw and compressed images are considered in this study. Also, watermarked images are considered for the efficient extraction of the watermark at the receiver. A comparison study between OFDM and MC-CDMA for the transmission of images is presented in the thesis. The simulation programming is made by matlab programming . |