为了更有效、实时地进行无线图像通信, 基于编码理论和非线性理论, 提出一种针对模拟量的三分支“咬尾”绝对值纠错编码方法和最大似然译码算法, 并与三分支“咬尾”Baker码相比较。经过仿真, 在图像传输中, 三分支“咬尾”绝对值纠错编码方法在高斯信道中的纠错性能远远超出后者, 恢复图像的PSNR有2 dB以上的增益, 并且其编译码的复杂度也大幅降低, 提升了通信有效性和实时性, 在信道的干扰或噪声大的图像通信中具有应用优势。

To improve the effectiveness and real-time performance of the wireless image transmission, tail-biting triple-branch absolute error correction coding, an efficient analog error correction coding method, and the maximum-likelihood decoding algorithm, were proposed based on the encoding theory and nonlinear theory.We applied the new coding method to the transmission of the digital images, and compared it with the tail-biting triple-branch Bakers map coding by simulation.The result shows that:1) Compared with the later, the proposed method has better correction ability in the Gaussian channel; 2) The PSNR of the restored image can get the gain of more than 2 dB; and 3) The decoding complexity of the new codes is decreased.In this way, the effectiveness and real-time performance of the wireless transmission can be improved greatly.The tail-biting triple-branch absolute error correction codes can play a better role in the image transmission for the wireless communication through the channel with severe noise or interference.