Parsimonious Quantization in Signal Processing and Control

在当今社会，有大量的数据。事实上，可以说我们正遭受着数据“过载”的痛苦。因此，要将“数据”转化为行动，就需要在信号处理和控制方面精打细算。为此，必须对数据进行采样(在时间上)和量化(在空间上)。在这一背景下，当前的项目旨在了解抽样简约量化的各个方面。其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、电子设备切换等许多方面。

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.