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    Digital communication system using real-time capacity achieving encoder design for channels with memory and feedback
    3.
    发明授权
    Digital communication system using real-time capacity achieving encoder design for channels with memory and feedback 有权
    使用实时容量的数字通信系统实现具有存储器和反馈的通道的编码器设计

    公开(公告)号：US09369315B2

    公开(公告)日：2016-06-14

    申请号：US14700495

    申请日：2015-04-30

    申请人： UNIVERSITY OF CYPRUS

    发明人： Charalambos D. Charalambous ,  Christos K. Kourtellaris

    IPC分类号： H04L27/00 ,  H04L25/03 ,  H04L1/00

    CPC分类号： H04L25/03828 ,  H04L1/0009 ,  H04L1/0019 ,  H04L25/03343

    摘要： A method for characterizing a capacity of a channel with memory and feedback comprises defining a channel model corresponding to the channel, wherein: the channel is utilized to transmit information from a source to a destination, and the channel model indicates a dependence of outputs from the channel on past and present channel input symbols and on past channel output symbols. The method further includes determining a representation of the capacity based on the channel model and based on a channel input distribution that achieves the capacity, wherein the representation represents the capacity for a finite number of transmissions over the channel, and wherein the representation includes an optimization, and solving the optimization of the representation of the capacity to determine the capacity of the channel for the finite number of transmissions.

    摘要翻译： 用于表征具有存储器和反馈的信道的容量的方法包括定义对应于该信道的信道模型，其中：该信道用于将信息从源传输到目的地，并且信道模型指示来自 通道在过去和现在的通道输入符号和过去的通道输出符号。 该方法还包括基于信道模型并且基于实现该容量的信道输入分布来确定容量的表示，其中该表示表示该信道上有限数量的传输的容量，并且其中该表示包括优化 ，并且解决容量表示的优化以确定用于有限数量的传输的信道的容量。

    DIGITAL COMMUNICATION SYSTEM USING REAL-TIME CAPACITY ACHIEVING ENCODER DESIGN FOR CHANNELS WITH MEMORY AND FEEDBACK
    7.
    发明申请
    DIGITAL COMMUNICATION SYSTEM USING REAL-TIME CAPACITY ACHIEVING ENCODER DESIGN FOR CHANNELS WITH MEMORY AND FEEDBACK 审中-公开
    使用实时能力实现编码器设计的数字通信系统与存储器和反馈信道

    公开(公告)号：US20150326412A1

    公开(公告)日：2015-11-12

    申请号：US14700495

    申请日：2015-04-30

    申请人： UNIVERSITY OF CYPRUS

    发明人： Charalambos D. Charalambous ,  Christos K. Kourtellaris

    IPC分类号： H04L25/03

    CPC分类号： H04L25/03828 ,  H04L1/0009 ,  H04L1/0019 ,  H04L25/03343

    摘要： A method for characterizing a capacity of a channel with memory and feedback comprises defining a channel model corresponding to the channel, wherein: the channel is utilized to transmit information from a source to a destination, and the channel model indicates a dependence of outputs from the channel on past and present channel input symbols and on past channel output symbols. The method further includes determining a representation of the capacity based on the channel model and based on a channel input distribution that achieves the capacity, wherein the representation represents the capacity for a finite number of transmissions over the channel, and wherein the representation includes an optimization, and solving the optimization of the representation of the capacity to determine the capacity of the channel for the finite number of transmissions.

    摘要翻译： 用于表征具有存储器和反馈的信道的容量的方法包括定义对应于该信道的信道模型，其中：该信道用于将信息从源传输到目的地，并且信道模型指示来自 通道在过去和现在的通道输入符号和过去的通道输出符号。 该方法还包括基于信道模型并且基于实现该容量的信道输入分布来确定容量的表示，其中该表示表示该信道上有限数量的传输的容量，并且其中该表示包括优化 ，并且解决容量表示的优化以确定用于有限数量的传输的信道的容量。

    Methods for Compression of Multivariate Correlated Data for Multi-Channel Communication
    10.
    发明申请
    Methods for Compression of Multivariate Correlated Data for Multi-Channel Communication 审中-公开

    公开(公告)号：US20190334547A1

    公开(公告)日：2019-10-31

    申请号：US16396300

    申请日：2019-04-26

    申请人： UNIVERSITY OF CYPRUS ,  Van Schuppen Control Research

    发明人： Jan H. van Schuppen ,  Charalambos D. Charalambous

    IPC分类号： H03M7/30 ,  H03M7/40 ,  H03M7/32 ,  G06F17/16

    摘要： Methods are provided for efficiently encoding and decoding multivariate correlated data sequences for transmission over multiple channels of a network. The methods include transforming data vectors from correlated sources into vectors that comprise substantially independent and correlated components, and generating a common information vector based on the correlated components, and two private information vectors. The methods also include computing the amount of information, such as Wyner's lossy common information, in the common information vector, computing rates that lie on the Gray-Wyner rate region, and choosing compression rates based on the amount of common information. The methods may be applicable, in general, to a wide range of communications and/or storage systems and, particularly, to sensor networks and multi-user virtual environments for gaming and other applications.