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In order to improve the accuracy of environmental sound events recognition under non-stationary noise, a sound events recognition method based on time-frequency analysis was proposed. In this method, power spectrum of the signal was firstly output in the form of time-frequency diagram. Then, sum and difference histograms(SDH) was adopted to calculate texture features. Afterwards, the matching pursuit(MP)...
Optimization in noisy environments is regard as a favorite application domains of genetic algorithms. Different methods for reducing the influence of noise are presented and discussed. A new fitness evaluation method is proposed that reevaluates all survival individuals each generation. Compared with re-sampling and population sizing, the new evaluation approach shows higher probability of searching...
To extend GA's application, that is important to study on genetic algorithm under noise environment. This paper firstly described the noise environment of the GA, analyzed the effect on GA of noise; then two indexes were proposed to evaluate the performance of GA in the noisy environment, CBMPGA was proposed for the noisy optimization, the numerical experiment shows that the performance of CBMPGA...
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