Entropy rate of hidden markov chains and capacity and coding for input-constrained channels

隐马尔可夫链的熵率以及输入受限通道的容量和编码

• 批准号: 261611-2007
• 负责人: Marcus, Brian
• 金额: $ 2.42万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=479919
• 关键词: Entropy; rate; hidden; markov; chains

In many practical noisy channels, input sequences are constrained in order to enable the channel to operate effectively. For instance, in magnetic and optical recording channels input sequences are constrained in a variety of ways to ensure accurate timing and reduce the likelihood of certain kinds of error events. Input constraints also model memory that is typically present in data recording channels and band-limited communication channels.

在许多实际的噪声信道中，为了使信道有效地工作，输入序列被约束。例如，在磁和光记录通道中，输入序列以各种方式受到约束，以确保准确的定时并降低某些类型的错误事件的可能性。输入约束还对通常存在于数据记录信道和带限通信信道中的存储器进行建模。