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Estimation of Critical Performance and Optimization of Scalable Joint Source/Channel Coder (SJSCC) For Time Varying Channels

机译:估计可伸缩关节源/信道编码器(SJSCC)对时间变化通道的关键性能和优化

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In this paper, we propose the model of Scalable Joint Source/Channel Coding for wireless data transmission where channel is inherently time varying and subject to Rayleigh fading nature. We consider the problem of still image data transmission over time varying channels with two Channel State Information's (CSI) and three bit rates (1, 1/2 and 1/4) for efficient transmission of data. Here, we analyze the effect of CSI availability on the optimal performance analysis of proposed scheme. Our source model is based on two level wavelet image decomposition using Haar mother wavelet with Set Partition In Hierarchical Tree (SPIHT) for significant coefficients for dynamic thresholding and channel coding will be Rate-Compatible Punctured Convolutional (RCPC) Codes. We simulated the new scheme of SJSCC and tried for optimal performance for wireless channels. Further, we show how our optimized SJSCC scheme out performs over Optimized Joint Source/Channel Coder (OJSCC) for channel states as well for various bit rates [2] [3]. In our optimization of SJSCC Scheme, marginal improvement in PSNR of 0.14dB is obtained for both average and worst channels and significant improvements of PSNR values in the order of 2dB is also obtained for all three bit rates over existing OJSCC system. Finally, our proposed SJSCC system performance is compared with RCPC and RCPT for wide range of SNRs and noticed marginal is noticed with RCPC channel coder or RCPT.
机译:在本文中,我们提出了可扩展的联合信源/信道的模型编码用于无线数据传输,其中信道本质上是时变化受到瑞利衰落的性质。我们认为,随着时间的推移变化的两个信道状态信息的(CSI)和数据的高效传输三位率(1 1/2和1/4)通道的静态图像数据传输的问题。在这里,我们分析的CSI可用性上提出的方案的最佳性能分析的效果。我们的源模型是基于使用哈尔的母亲小波和设置分区分层树(SPIHT)用于动态阈值和信道编码将速率兼容删除卷积码(RCPC)码显著系数二级小波图像分解。我们模拟SJSCC的新方案,并试图为无线信道最佳性能。此外,我们展示了如何对信道状态在优化联合信源/信道编码器(OJSCC)我们已优化SJSCC方案出来执行以及关于各种比特率[2] [3]。在我们SJSCC方案的优化,是其平均值获得0.14分贝的PSNR边际改善,也为现有OJSCC系统所有三个比特率获得最差的渠道和以2dB的顺序PSNR值的显著改善。最后,我们提出的SJSCC系统性能与RCPC和RCPT相比,大范围的SNR,并注意到边际的发现与RCPC信道编码器或RCPT。

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