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Nonlinear Perception Characteristics Analysis of Ocean White Noise Based on Deep Learning Algorithms

Author

Listed:
  • Tao Qian

    (School of Design, Anhui Polytechnic University, Wuhu 241000, China)

  • Ying Li

    (School of Design, Anhui Polytechnic University, Wuhu 241000, China)

  • Jun Chen

    (School of Design, Anhui Polytechnic University, Wuhu 241000, China)

Abstract

Caused by nonlinear vibration, ocean white noise exhibits complex dynamic characteristics and nonlinear perception characteristics. To explore the potential application of ocean white noise in engineering and health fields, novel methods based on deep learning algorithms are proposed to generate ocean white noise, contributing to marine environment simulation in ocean engineering. A comparative study, including spectrum analysis and auditory testing, proved the superiority of the generation method using deep learning networks over general mathematical or physical methods. To further study the nonlinear perception characteristics of ocean white noise, novel experimental research based on multi-modal perception research methods was carried out within a constructed multi-modal perception system environment, including the following two experiments. The first audiovisual comparative experiment thoroughly explores the system’s user multi-modal perception experience and influence factors, explicitly focusing on the impact of ocean white noise on human perception. The second sound intensity testing experiment is conducted to further explore human multi-sensory interaction and change patterns under white noise stimulation. The experimental results indicate that user visual perception ability and state reach a relatively high level when the sound intensity is close to 50 dB. Further numerical analysis based on the experimental results reveals the internal influence relationship between user perception of multiple senses, showing a fluctuating influence law to user visual concentration and a curvilinear influence law to user visual psychology from the sound intensity of ocean white noise. This study underscores ocean white noise’s positive effect on human perception enhancement and concentration improvement, providing a research basis for multiple field applications such as spiritual healing, perceptual learning, and artistic creation for human beings. Importantly, it provides valuable references and practical insights for professionals in related fields, contributing to the development and utilization of the marine environment.

Suggested Citation

  • Tao Qian & Ying Li & Jun Chen, 2024. "Nonlinear Perception Characteristics Analysis of Ocean White Noise Based on Deep Learning Algorithms," Mathematics, MDPI, vol. 12(18), pages 1-20, September.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:18:p:2892-:d:1479427
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    References listed on IDEAS

    as
    1. Ying Li & Ye Tang, 2023. "Novel Creation Method of Feature Graphics for Image Generation Based on Deep Learning Algorithms," Mathematics, MDPI, vol. 11(7), pages 1-17, March.
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