RIA: Vector Quantization for Noisy Channels

RIA：噪声通道的矢量量化

• 批准号: 9309008
• 负责人: Steven McLaughlin
• 金额: $ 10.63万
• 依托单位: Rochester Institute of Tech
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-07-01 至 1996-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9309008&HistoricalAwards=false
• 关键词: RIA; Vector; Quantization; Noisy; Channels

9309008 McLaughlin The Principal Investigator is analyzing and designing quantizers for the compression and transmission of analog signals such as speech, images, video and music across noisy channels such as satellite links or telephone lines. The research considers joint source-channel codes, which are essentially source codes designed so that their outputs can be transmitted directly across a noisy channel without channel coding. The investigator is developing an asymptotic theory, giving insight and direction into the design of locally and possibly globally optimum noisy channel quantizers. Source-channel codes then will be designed to achieve or exceed the overall system performance of the traditional approach of tandem source and channel coding. The award provides support for three years.

9309008 McLaughlin 首席研究员正在分析和设计量化器，用于通过卫星链路或电话线等噪声通道压缩和传输模拟信号，例如语音、图像、视频和音乐。 该研究考虑了联合源信道代码，其本质上是设计的源代码，其输出可以直接通过噪声信道传输，而无需信道编码。 研究人员正在开发一种渐近理论，为局部和可能全局最优噪声通道量化器的设计提供见解和方向。 然后，源信道编码将被设计为实现或超过串联源和信道编码的传统方法的整体系统性能。 该奖项提供三年的支持。