Parsimonious Quantization in Signal Processing and Control

信号处理和控制中的简约量化

• 批准号: DP0663082
• 负责人: Prof Graham Goodwin
• 金额: $ 47.29万
• 依托单位: The University of Newcastle
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0663082
• 关键词: Parsimonious; Quantization; Signal; Processing; Control

In today's society there is an abundance of data. Indeed, it could be argued that we suffer from data 'overload'. Thus to turn 'data' into actions, the need for parsimony in signal processing and control arises. For that purpose, the data must be sampled (in time) and quantized (in space). Within this context, the current project is aimed at understanding aspects of sampled parsimonious quantization. The results have widespread practical uses including digital cameras, video compression, audio quantization, control over communication networks, switching of electronic devices and many others.

当今社会存在着大量的数据。事实上，可以说我们正遭受数据“过载”的困扰。因此，为了将“数据”转化为行动，就需要在信号处理和控制中进行简约。为此，必须对数据进行采样（在时间上）和量化（在空间上）。在此背景下，当前项目旨在了解采样简约量化的各个方面。研究结果具有广泛的实际用途，包括数码相机、视频压缩、音频量化、通信网络控制、电子设备切换等。