WebAbstract: Significant advances in video compression systems have been made in the past several decades to satisfy the near-exponential growth of Internet-scale video traffic. From the application perspective, we have identified three major functional blocks, including preprocessing, coding, and postprocessing, which have been continuously investigated … WebIn this paper, we study Joint Source-Channel Coding (JSCC) for distributed analog functional compression over both Gaussian Multiple Access Channel (MAC) and AWGN channels. Notably, we propose a deep neural network based solution for learning encoders and decoders. We propose three methods of increasing performance. The first one …

Image compression: convolutional neural networks vs. JPEG

Webpeak compression throughput, and the network bandwidth. If the compression ratio is too low, the network will remain saturated and performance gains will be minimal. Similarly, if compression speed is too low, the compressor will become the bottleneck. TDR, as implemented in BIG-IP LTM and BIG-IP AAM, has been optimized to maintain high … WebOn Functional Compression in Tree Networks Soheil Feizi, Muriel Medard´ RLE at MIT Emails: fsfeizi,[email protected] Abstract—In this paper, we consider the problem of func-tional compression for an arbitrary tree network. Suppose we have k possibly correlated source processes in a tree network, and a receiver in its root wishes to compute a ... software cyclomatic complexity

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WebBibliographic details on On Network Functional Compression. We are hiring! We are looking for three additional members to join the dblp team. (more information) Stop the … WebIn this paper, we consider different aspects of the network functional compression problem where computation of a function (or, some functions) of sources located at … WebIn that context, functional compression will provide algorithms to reduce the latency due to the transport of information. On one hand, functional compression will allow multiple sources performing secure computations over large amount of data to reduce the network traffic needed to exchange information relevant for the computations. slow dogs season 2