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Communication Dans Un Congrès Année : 2008

An Improved Quality Adaptative Rate Filtering Technique Based on the Level Crossing Sampling

Résumé

Mostly the systems are dealing with time varying signals. The Power efficiency can be achieved by adapting the system activity according to the input signal variations. In this context an adaptive rate filtering technique, based on the level crossing sampling is devised. It adapts the sampling frequency and the filter order by following the input signal local variations. Thus, it correlates the processing activity with the signal variations. Interpolation is required in the proposed technique. A drastic reduction in the interpolation error is achieved by employing the symmetry during the interpolation process. Processing error of the proposed technique is calculated. The computational complexity of the proposed filtering technique is deduced and compared to the classical one. Results promise a significant gain of the computational efficiency and hence of the power consumption.
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Dates et versions

hal-00323939 , version 1 (23-09-2008)

Identifiants

  • HAL Id : hal-00323939 , version 1

Citer

Saeed-Mian Qaisar, Laurent Fesquet, Marc Renaudin. An Improved Quality Adaptative Rate Filtering Technique Based on the Level Crossing Sampling. Fifth International Conference on Computer Vision, Image and Signal Processing (CVISP 2008), Jul 2008, Prague, Czech Republic. pp.79-84. ⟨hal-00323939⟩

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