Li M.,Fujian Preschool Education College
Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016 | Year: 2017
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) algorithm was employed to obtain effective time-frequency features to supplement the texture features to yield higher recognition accuracy. Two experiments were conducted to demonstrate the effectiveness of these joint features for unstructured environmental sound events classification. The results show that the method can produce good performance, and is robust to noise. © 2016 IEEE.
Chen N.,Fujian Preschool Education College |
Xu J.,Fuzhou University
2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2012 | Year: 2012
This paper consider a class of bidirectional associative memory (BAM) cellular neural networks with delays. By using the fixed point theorem and differential inequality techniques, some new sufficient conditions are established for the existence, uniqueness and global exponential stability of the almost periodic solutions. The obtained sufficient conditions are easy to verify and our results complement previously known results. © 2012 IEEE.