| Summary: | 博士 === 國立交通大學 === 電機與控制工程系所 === 95 === The primary design objective of computing and communication systems has
been targeting on the following performance metrics: the speed of signal processing, the rate of communications, and the optimization of quality of service. For
portable embedded computing systems and wireless systems deployed on a large
scale and untethered to power sources, practical considerations dictate a different
design regime, one that should be dominated by energy and cost constraints. Batteries are serving as a dedicated energy resource. The requirement of portability places
severe restrictions on size and weight, which in turn limits the amount of energy
that is continuously available to maintain system operability. For these reasons, a
fundamental shift in design paradigm is necessary: from focusing on performance to focusing on constraints, from maximizing data rate to maximizing resource efficiency. This dissertation illuminates the impact of resource constraints on the design
methodologies of VLSI signal processing and communication applications, proposes
several design methodologies in the resource-constrained low-power high-level synthesis (HLS), the limited-resource folding techniques, and the power efficient turbo
decoder, and tries to stimulate interests in the VLSI signal processing in reformulating and revisiting classic VLSI signal processing problems under new constraints and
exploring the role of signal processing in exciting new applications. Based on the
proposed techniques, we have designed and implemented two power-efficient chips,
a pulse shaping FIR filter for WCDMA and a limited-resource DWT processor.
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