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The paper addresses the problem of noise robustness from the standpoint of the sensitivity to noise estimation errors. Since the noise is usually estimated ...
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Oct 22, 2024 · PDF | The paper addresses the problem of noise robustness from the standpoint of the sensitivity to noise estimation errors.
The paper addresses the problem of noise robustness from the standpoint of the sensitivity to noise estimation errors. Since the noise is usually estimated ...
It is shown that parallel model combination has an advantage over spectral subtraction because it is less sensitive to noise estimation errors, ...
The paper addresses the problem of noise robustness from the standpoint of the sensitivity to noise estimation errors. Since the noise is usually estimated ...
This paper presents a novel approach for reconstructing unre- liable spectral components, which utilizes HMM-based miss- ing feature algorithms, and applies ...
Sensitivity analysis of noise robustness methods. by Luca Brayda. 2004, Acoustics, Speech, and …
Sensitivity analysis is a method used to determine how the variation in input parameters of a model can affect the output results.
Robust parameter design experiments lead to products and processes that are insensitive to the effects of noise. These experiments reveal the interaction of ...
Deterministic and stochastic methods to obtain the sensitivity coefficient of neutron noise with respect to the abovementioned parameters are proposed.