This thesis pertains to the design of a digital signal processor (DSP) with emphasis on lowpower for power-sensitive applications such as battery-operated embedded systems. The low-power attribute is largely obtained by means of exploiting the idiosyncrasies of asynchronous-logic, an emerging design methodology with intrinsic fine-grain clock gating and improved average-case performance (compared to the competing prevalent synchronouslogic approach). The specific asynchronous-logic modality adopted is the single-rail bundled-data approach, and the specific DSP is the fixed-point 24-bit Motorola DSP56000, a somewhat dated DSP but whose architecture remains largely contemporary. This thesis describes the complete design and, in part, the mono...
Abstract—This paper proposes a low-power high-throughput digital signal processor (DSP) for baseband...
This thesis pertains to the investigation of low power, high robustness and yet speed-efficient digi...
Many complex systems are inherently asynchronous. One simple example is the neural network in human ...
An architecture is presented for a digital signal processor (DSP) intended for use in digital mobile...
This project encompasses the generation of memory blocks, design and implementation of memory and in...
With the explosive growth in portable applications, power efficient computing in a Digital Signal Pr...
Current mobile phone applications demand high performance from the DSP, and future generations are l...
With the increasing demand for low power device in consumer electronics and biomedical field, the...
In the last ten years, limited clock frequency scaling and increasing power density has shifted IC d...
This work presents a methodology for designing an ultra low power application specific instruction s...
The overall objectives of this research project pertain to the design and implementation of 16-bit s...
This thesis pertains to design and analysis of a 16-bit low-voltage (1.1 V) low-power asynchronous p...
Digital signal processing is an area of science and engineering that has developed rapidly over the ...
Emerging biomedical applications would benefit from the availability of digital processors with subs...
As complexity increases and gate sizes shrink for monolithic, mixed-signal integrated circuit (IC) t...
Abstract—This paper proposes a low-power high-throughput digital signal processor (DSP) for baseband...
This thesis pertains to the investigation of low power, high robustness and yet speed-efficient digi...
Many complex systems are inherently asynchronous. One simple example is the neural network in human ...
An architecture is presented for a digital signal processor (DSP) intended for use in digital mobile...
This project encompasses the generation of memory blocks, design and implementation of memory and in...
With the explosive growth in portable applications, power efficient computing in a Digital Signal Pr...
Current mobile phone applications demand high performance from the DSP, and future generations are l...
With the increasing demand for low power device in consumer electronics and biomedical field, the...
In the last ten years, limited clock frequency scaling and increasing power density has shifted IC d...
This work presents a methodology for designing an ultra low power application specific instruction s...
The overall objectives of this research project pertain to the design and implementation of 16-bit s...
This thesis pertains to design and analysis of a 16-bit low-voltage (1.1 V) low-power asynchronous p...
Digital signal processing is an area of science and engineering that has developed rapidly over the ...
Emerging biomedical applications would benefit from the availability of digital processors with subs...
As complexity increases and gate sizes shrink for monolithic, mixed-signal integrated circuit (IC) t...
Abstract—This paper proposes a low-power high-throughput digital signal processor (DSP) for baseband...
This thesis pertains to the investigation of low power, high robustness and yet speed-efficient digi...
Many complex systems are inherently asynchronous. One simple example is the neural network in human ...