发明名称 Method and system for communicating multimedia using reconfigurable rateless codes and decoding in-process status feedback
摘要 A method and system use capacity-approaching rateless code to communicate multimedia data even with very short codewords, such as 64 bits or less, via erasure and noise channels. The method provides a way to design the edge degree distribution of rateless codes for any arbitrary channel. Based on an equivalent metric of decoding behavior in any channels, the degree distribution of a rateless code such as Luby-transform codes and raptor codes is optimized based on in-process status of decoding. A regularized least-squares optimization is used to avoid erroneous decoding. Multiple feedbacks can further improve the performance.
申请公布号 US9215457(B2) 申请公布日期 2015.12.15
申请号 US201213475350 申请日期 2012.05.18
申请人 MITSUBISHI ELECTRIC RESEARCH LABORATORIES, INC. 发明人 Koike-Akino Toshiaki;Soerensen Jesper H;Orlik Philip
分类号 H04N7/26;H04N19/164;H03M13/37 主分类号 H04N7/26
代理机构 代理人 Brinkman Dirk;Vinokur Gene
主权项 1. A method communicating multimedia data from a transmitter to a receiver, comprising the steps: encoding, in the transmitter, the multimedia data by a rateless encoder to produce encoded data using a degree distribution; transmitting the encoded data to the receiver via a channel, wherein the channel is subject to noise; decoding, in the receiver, an output of the channel by a decoder, wherein the decoder is a rateless decoder, and wherein the decoder is a random belief propagation decoder; transmitting, from the receiver to the transmitter, feedback of an in-process decoding status of the decoder at the receiver at an optimal feedback timing while receiving the encoded data; updating, in the transmitter, the degree distribution based on the feedback, such that the degree distribution varies over time; determining belief messages based on the decoder given the degree distribution; analyzing an entropy of the belief messages to determine an equivalent ripple size; optimizing the degree distribution having the equivalent ripple size using a regularized least-squares optimization; and iterating the steps of the determining the belief messages, analyzing the entropy and the optimizing until the degree distribution convergences to an optimal degree distribution.
地址 Cambridge MA US