Introduction to numerical analysis: 2nd edition
Introduction to numerical analysis: 2nd edition
Multirate Digital Signal Processing
Multirate Digital Signal Processing
A New Class of Asynchronous A/D Converters Based on Time Quantization
ASYNC '03 Proceedings of the 9th International Symposium on Asynchronous Circuits and Systems
A Level-Crossing Flash Asynchronous Analog-to-Digital Converter
ASYNC '06 Proceedings of the 12th IEEE International Symposium on Asynchronous Circuits and Systems
Adaptive window zero-crossing-based instantaneous frequency estimation
EURASIP Journal on Applied Signal Processing
Digital Alias-free Signal Processing
Digital Alias-free Signal Processing
Discrete-time speech signal processing: principles and practice
Discrete-time speech signal processing: principles and practice
An adaptive resolution computationally efficient short-time Fourier transform
Research Letters in Signal Processing
Analog-to-digital converter survey and analysis
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
The recent sophistications in areas of mobile systems and sensor networks demand more and more processing resources. In order to maintain the system autonomy, energy saving is becoming one of the most difficult industrial challenges, in mobile computing. Most of efforts to achieve this goal are focused on improving the embedded systems design and the battery technology, but very few studies target to exploit the input signal time-varying nature. This paper aims to achieve power efficiency by intelligently adapting the processing activity to the input signal local characteristics. It is done by completely rethinking the processing chain, by adopting a non conventional sampling scheme and adaptive rate filtering. The proposed approach, based on the LCSS (Level Crossing Sampling Scheme) presents two filtering techniques, able to adapt their sampling rate and filter order by online analyzing the input signal variations. Indeed, the principle is to intelligently exploit the signal local characteristics--which is usually never considered--to filter only the relevant signal parts, by employing the relevant order filters. This idea leads towards a drastic gain in the computational efficiency and hence in the processing power when compared to the classical techniques.