원문정보
초록
영어
For the improvement of living environment, there are more needs of the real time and online automatic noise monitoring system installed in many urban areas. In this project, the principle of noise audio frequency processing and coding algorithm was researched, including Discrete Cosine Transform and Wavelet Transform. The noise monitoring system solved the synchronous problem between the audio data and noise decibel, the special storage format separated the audio data which can be located in probability, and the audio data across segments to be played continually. The design of double-layer structure and isolating solved the problem of heat dissipating, waterproof and dustproof. In the experimental testing of the noise monitoring system, the noise decibel was affected by temperature and differential pressure, for improving its precision, the linear regression model is applied in the calculation of noise decibel. The least estimate method was used to calculate the residual for the automatic correction of the noise monitoring, and increase the accuracy of noise monitoring.
목차
1. Introduction
2. Noise Monitoring Technology
2.1. The Principle of Noise Assessment
2.2. The Principle of Noise Audio Processing
2.3. One-Dimensional Discrete Cosine Transform
2.4.Wavelet Transform
3. ENS Noise Monitoring System
3.1. Decibel Data Acquisition Module
3.2. Audio Data Acquisition Module
3.3. Excessive Noise Handling and Transmission
3.4. Real-Time Data Handling and Transmission
3.5. Statistics Calculation and Transmission
3.6. Other Module
4. The Key Technology of ENS
5. Automatic Correction Algorithm
5.1. Linear Regression Principal
5.2. The Experimental Data Analysis
6. Conclusion
Acknowledgements
References