Delta Sigma Based Digital Signal Processing

9737 Words39 Pages
The proposed research focuses on Delta Sigma based Digital Signal Processing (DSP) circuits on Very Large Scale Integration (VLSI) systems for low-power intelligent sensors -in particular on building systematic tools to study their design principles and fundamental performance limits of energy-efficient low-complexity architectures and on the analysis of their practical advantages and limits.

Integrated intelligent sensors has emerged in a wide range of applications including health care, surveil- lance, environment monitoring, smart buildings, and Internet-of-Things, etc, and has significantly benefited society due to alleviating certain monitoring and processing tasks. However, novel applications such as wearable biomedical devices require further miniaturization of existing state-of-the-art hardware while having more signal processing capability due to the need to perform real-time processing, i.e. not only monitoring but also detecting abnormal physiological signals and providing help by calling a hospital or ambulance. One fundamental problem with these applications is that the high-performance signal processing circuit consumes too much power, which limits system battery lifetime or processing capability. Thus, these applications require the design of low-power signal processing hardware, especially multiply-and-accumulate (MAC) circuits, which are widely used in linear signal processing algorithms. Accordingly, the goal of the proposed research is to address these
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