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Sensitivity-Based Pole and Input-Output Errors of Linear Filters as Indicators of the Implementation Deterioration in Fixed-Point Context
EURASIP Journal on Advances in Signal Processing volume 2011, Article number: 893760 (2011)
Input-output or poles sensitivity is widely used to evaluate the resilience of a filter realization to coefficients quantization in an FWL implementation process. However, these measures do not exactly consider the various implementation schemes and are not accurate in general case. This paper generalizes the classical transfer function sensitivity and pole sensitivity measure, by taking into consideration the exact fixed-point representation of the coefficients. Working in the general framework of the specialized implicit descriptor representation, it shows how a statistical quantization error model may be used in order to define stochastic sensitivity measures that are definitely pertinent and normalized. The general framework of MIMO filters and controllers is considered. All the results are illustrated through an example.
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Hilaire, T., Chevrel, P. Sensitivity-Based Pole and Input-Output Errors of Linear Filters as Indicators of the Implementation Deterioration in Fixed-Point Context. EURASIP J. Adv. Signal Process. 2011, 893760 (2011). https://doi.org/10.1155/2011/893760
- Error Model
- General Framework
- Implementation Scheme
- Sensitivity Measure
- Implementation Process