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Showing 1 to 10 of 10 for “"joint source-channel coding"”.

  1. Combinatorial joint source-channel coding

    Traditional error correction and source coding has focused on the stochastic setting where separation based schemes are optimal, and current solutions for applications requiring both lossy compression and noise resilience reflect this approach. However, in the adversarial setting, with worst case …

    mit Repository record for Combinatorial joint source-channel coding (opens in a new tab)

  2. Joint source channel coding for progressive image transmission

    … those embedded bit streams are very sensitive to channel noise and protections from channel coding are necessary. Typical error correcting capability of channel codes varies according to different channel conditions. Thus, separate design leads to performance degradation relative to what could be …

    njit Repository record for Joint source channel coding for progressive image transmission (opens in a new tab)

  3. Signal Processing for Joint Source -Channel Coding of Digital Images

    … the data into binary representation and then channel coding it to recover from transmission errors, this thesis advocates the joint source-channel coding solution to the problem. The joint approach potentially leads to significant performance gains in emerging multiuser communication scenarios …

    uiuc Repository record for Signal Processing for Joint Source -Channel Coding of Digital Images (opens in a new tab)

  4. Empirical rate-distortion study of compressive sensing-based joint source-channel coding

    … scheme that uses compressive sensing (CS) as joint source-channel coding. We investigate the rate-distortion behavior of both point-to-point and distributed cases. First, we propose an efficient algorithm to find the 4-norm regularization parameter that is required by the Least Absolute …

    mit Repository record for Empirical rate-distortion study of compressive sensing-based joint source-channel coding (opens in a new tab)

  5. Error control for scalable image and video coding

    … the unequal error protection method within the joint source-channel coding framework. For the error resilient method, an optimal bit allocation algorithm is proposed without considering the distortion caused by packet losses. The allocation algorithm is then extended to accommodate packet …

    sask Repository record for Error control for scalable image and video coding (opens in a new tab)

  6. On the construction of some capacity-approaching coding schemes

    … The first approach is based on novel memoryless joint source-channel coding schemes. We first show some examples of sources and channels where no coding is optimal for all values of the signal~to-noise ratio (SNR). When the source bandwidth is greater than the channel bandwidth, joint coding

    mit Repository record for On the construction of some capacity-approaching coding schemes (opens in a new tab)

  7. Distortion-Tolerant Communications with Correlated Information

    … design of practical WSNs. Second, distributed source coding schemes are developed by exploiting the data correlation in a wireless network with spatially distributed sources. A new symmetric distributed joint source-channel coding scheme (DJSCC) is proposed by utilizing the spatial source

    arkansas Repository record for Distortion-Tolerant Communications with Correlated Information (opens in a new tab)

  8. Robust Wireless Communications with Applications to Reconfigurable Intelligent Surfaces

    … reliability. For low-latency communications, joint source-channel coding (JSCC) is an attractive method for error correction coding and compared to highly complex digital systems that are currently in use. I propose the use of complex-valued and quaternionic neural networks (QNN) to decode …

    vt Repository record for Robust Wireless Communications with Applications to Reconfigurable Intelligent Surfaces (opens in a new tab)

  9. Correlated Sources In Distributed Networks - Data Transmission, Common Information Characterization and Inferencing

    … terminals, including: communicating correlated sources over interference channels, characterizing the common information among dependent random variables, and testing the presence of dependence among observations.</p> <p>It is well known that separated source and channel coding is optimal for …

    syracuse-diss Repository record for Correlated Sources In Distributed Networks - Data Transmission, Common Information Characterization and Inferencing (opens in a new tab)

  10. Linear Programming Decoding for Non-Uniform Sources and for Binary Channels With Memory

    Linear programming (LP) decoding of low-density parity-check codes was introduced by Feldman et al. in [1]. In his formulation it is assumed that communication takes place over a memoryless channel and that the source is uniform. Here, we extend the LP decoding paradigm by studying its application …

    queens Repository record for Linear Programming Decoding for Non-Uniform Sources and for Binary Channels With Memory (opens in a new tab)