A high performance algorithm for chaotic nature identification based on image recognition
Dong Shuang-shuang
Abstract
Dong Shuang-shuang
Abstract
Chaos oscillator can be used to detect some extremely weak periodic signals in strong noise by using the sensitive dependence on parameters of chaotic system.The key of these applications is the chaotic nature identification.Based on image recognition a new method identifying chaotic nature is presented in this paper.It needs very small amount of data storage.The algorithm is simple and especially fit for the situation when the system resources are limited,for example,the embedded system.The principle of this method is explained and a complete program of chaotic nature identification based on this new method is given in this paper.The computer simulation result show that this method is effective when used in the signal amplitude detection system based on the Duffing oscillator.
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Chaos oscillator can be used to detect some extremely weak periodic signals in strong noise by using the sensitive dependence on parameters of chaotic system.The key of these applications is the chaotic nature identification.Based on image recognition a new method identifying chaotic nature is presented in this paper.It needs very small amount of data storage.The algorithm is simple and especially fit for the situation when the system resources are limited,for example,the embedded system.The principle of this method is explained and a complete program of chaotic nature identification based on this new method is given in this paper.The computer simulation result show that this method is effective when used in the signal amplitude detection system based on the Duffing oscillator.
Key concepts: Chaotic, Duffing equation, Identification (biology), Key (lock), Computer science, Noise (video), Algorithm, Image (mathematics)