Iterative Architechtures for Data Communications

实时视频或语音等数据密集型应用的市场不断增长，需要不断改进通信系统。近年来，迭代信息处理算法在通信设备设计中得到了广泛的关注，但对这些方法的理论认识还很欠缺。在迭代处理范例中，项目目标是优化受计算复杂性约束的复杂通信系统。将制定这类系统的理论分析和设计方法，为统计科学作出基本贡献，并通过更好地利用有限的带宽、功率和计算复杂性，建立更廉价的通信基础设施，以支持更广泛的服务。

Growing markets for data intensive applications such as real-time video or speech necessitate continual improvements of communications systems. Iterative information processing algorithms have recently received attention for communications equipment design, however theoretical understanding of these methods is still lacking. Within an iterative processing paradigm, the project aim is the optimization of complex communications systems subject to constraints on computational complexity. Theoretical analysis and design methodologies for such systems will be developed, resulting in basic contributions to statistical science and in cheaper communications infrastructures supporting a wider range of services through better use of limited bandwidth, power and computational complexity.