Nonlinear effects of noise and possible auditory noisy signal processing strategy

Nonlinear biochemical signal processing via noise propagation.

Single-cell studies often show significant phenotypic variability due to the stochastic nature of intra-cellular biochemical reactions. When the numbers of molecules, e.g., transcription factors and regulatory enzymes, are in low abundance, fluctuations in biochemical activities become significant and such "noise" can propagate through regulatory cascades in terms of biochemical reaction networ...

Influence of signal processing strategy in auditory abilities.

UNLABELLED The signal processing strategy is a parameter that may influence the auditory performance of cochlear implant and is important to optimize this parameter to provide better speech perception, especially in difficult listening situations. OBJECTIVE To evaluate the individual's auditory performance using two different signal processing strategy. METHOD Prospective study with 11 prel...

Signal extraction from noisy signal based on auditory scene analysis

This paper proposes a method of extracting the desired signal from a noisy signal. This method solves the problem of segregating two acoustic sources by using constraints related to the four regularities proposed by Bregman and by making two improvements to our previously proposed method. One is to incorporate a method of estimating the fundamental frequency using the Comb ltering on the lterba...

Signal Processing of Noisy Short Utterance Based on Noise Separation and Multiple Features Fusion

Recognition rate of noisy short utterance is lower, the two main factors are the inadequate training data and utterance polluted by noisy seriously. In this paper, we proposed corresponding algorithms. First, noise and speech are regarded as parallel information, we use FastICA algorithm to separate pure speech and noise. And then, we use differences detecting and eliminating algorithm (DDAEA) ...

Aspects of Signal Processing in Noisy Neurons