课题基金 / 基金详情

Bit/Byte Bounded Error Control Codes for Byte-Organized Systems

Bit/Byte Bounded Error Control Codes for Byte-Organized Systems
字节组织系统的位/字节有界错误控制码
批准号:
9423735
负责人:
Nitin Vaidya
金额:
$14.99万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-06-01 至 1999-05-31

项目摘要

项目成果

Nitin Vaidya的其他基金

相似基金

相关文献

中文摘要
翻译
该项目的主要目标是使用一种新的差错控制模型为“字节组织的”系统设计差错控制码。在按字节组织的系统中,硬件被分区,使得每个部分在输出中产生命中的子集。例如,可以将存储器组织为每个卡一个字节。在这种情况下,每个卡在存储字中产生一个字节。对于这样的系统,正在开发一种新的差错控制模型,称为比特/字节界限模型。简而言之,该模型可以使用两个参数来描述,例如t和u。使用比特/字节有界模型设计的代码可以容忍限制在必须u字节内的高达t个比特差错。与现有的方法不同,比特/字节界限模型可以在传统的比特和1字节误差模型之间进行内插。此外,该模型还可以通过牺牲少量的差错控制能力来减少校验位的数量。
英文摘要
The principal goal of this project is to design error control codes for "byte-organized" systems using a new error control model. In a byte-organized system, the hardware is partitioned such that each part produced a subset of hits in the output. For example, a memory may be organized as one byte per card. In this case, each card produces a byte in the memory word. For such systems, a new error control model called the bit/byte bounded model is being developed. Briefly, this model can be described using tow parameters, say t and u. The codes designed using the bit/byte bounded model can tolerate up to t bit errors confined to a must u bytes. Unlike the existing approaches, the bit/byte bounded model can interpolate between the traditional bit and 1 byte error models. Also, the proposed model can be used to reduce the number of checkbits by trading a small amount of error control capability.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CSR: Small: Collaborative Research: Improving Latency in Geo-Replicated Storage by Relaxing Consistency Requirements
  • 批准号:
    1849599
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.98万
  • 财政年份:
    2018
  • 负责人:
    Nitin Vaidya
  • 依托单位:
CSR: Small: Collaborative Research: Improving Latency in Geo-Replicated Storage by Relaxing Consistency Requirements
Networked Multi-Agent Systems: Coping with Adversarial Agents and Links
  • 批准号:
    1842198
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.37万
  • 财政年份:
    2018
  • 负责人:
    Nitin Vaidya
  • 依托单位:
Networked Multi-Agent Systems: Coping with Adversarial Agents and Links
海外基金