RIA: Vector Quantization for Noisy Channels

9309008 McLaughlin首席研究员正在分析和设计量化器，用于压缩和传输模拟信号，如语音，图像，视频和音乐，通过嘈杂的信道，如卫星链路或电话线。 该研究考虑了联合信源信道编码，这本质上是设计的信源编码，使得它们的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个渐近理论，使洞察力和方向到本地和可能的全球最佳噪声信道量化器的设计。 然后，信源信道编码将被设计为达到或超过传统的级联信源信道编码方法的整体系统性能。 该奖项提供三年的支持。

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.