Add to ORKGA soft digital signal processing (DSP) design paradigm has been recently proposed to reduce the energy consumption of DSP sys-tems through voltage overscaling. This paper shows that the selec-tion of arithmetic unit structure can be an important and non-trivial issue in soft DSP system design. We present an optimal formula-tion and propose sub-optimal low-complexity approximations for selecting the appropriate arithmetic unit structure in voltage over-scaled signal processing systems. We further present a case study on choosing the appropriate MAC (multiply-accumulate) structure in voltage overscaled FIR (finite impulse response) filter
In the endure three decades, number of active rule for solving a problem in step and constructions ...
Abstract—In this paper, an energy-efficient estimation and detection problem is formulated for low-p...
<p>Digital signal processing (DSP) circuits are extremely important in computing and communications ...
Approximate Computing has emerged as a new low-power design approach for application domains charact...
In this paper, we propose a system level design approach considering voltage over-scaling (VaS) that...
We present new approaches which can be used to reduce power consumption and/or increase speed of DSP...
We develop a theoretical foundation to characterize a novel methodology for low energy and high perf...
In this paper a review of different techniques used to implement highly optimized DSP systems is pre...
Arithmetic operations traditionally used fixed-point processing because it makes them less expensive...
Abstract—In the prevalence of DSP applications the weighted operations are the multiplication and ac...
In this paper, we consider the design of finite-impulse response (FIR) filters, where the coefficien...
146 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.In this dissertation, we stud...
174 p.Multipliers, being the area and power hungry units, are deciding factors to the overall area, ...
University of Minnesota Ph.D. dissertation.May 2016. Major: Electrical Engineering. Advisor: Gerald ...
Digital signal filtering is one of the prime area which is frequently used in practical applications...
In the endure three decades, number of active rule for solving a problem in step and constructions ...
Abstract—In this paper, an energy-efficient estimation and detection problem is formulated for low-p...
<p>Digital signal processing (DSP) circuits are extremely important in computing and communications ...
Approximate Computing has emerged as a new low-power design approach for application domains charact...
In this paper, we propose a system level design approach considering voltage over-scaling (VaS) that...
We present new approaches which can be used to reduce power consumption and/or increase speed of DSP...
We develop a theoretical foundation to characterize a novel methodology for low energy and high perf...
In this paper a review of different techniques used to implement highly optimized DSP systems is pre...
Arithmetic operations traditionally used fixed-point processing because it makes them less expensive...
Abstract—In the prevalence of DSP applications the weighted operations are the multiplication and ac...
In this paper, we consider the design of finite-impulse response (FIR) filters, where the coefficien...
146 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.In this dissertation, we stud...
174 p.Multipliers, being the area and power hungry units, are deciding factors to the overall area, ...
University of Minnesota Ph.D. dissertation.May 2016. Major: Electrical Engineering. Advisor: Gerald ...
Digital signal filtering is one of the prime area which is frequently used in practical applications...
In the endure three decades, number of active rule for solving a problem in step and constructions ...
Abstract—In this paper, an energy-efficient estimation and detection problem is formulated for low-p...
<p>Digital signal processing (DSP) circuits are extremely important in computing and communications ...