Abstract
An algorithm for determining the distance to the sound source based on amplitude and frequency characteristics was developed. The algorithm is implemented in the Matlab software environment.
Publisher
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka)
Reference21 articles.
1. 1. Chitte, S.D., Dasgupta, S., Ding, Zh., 2009. "Distance Estimation From Received Signal Strength Under Log-Normal Shadowing: Bias and Variance". IEEE Signal Processing Letters, 16 (3), pp. 216-218.
2. 2. Cochran, P., Throop, J., Simpson, W.E., 1968. "Estimation of Distance of a Source of Sound". The American Journal of Psychology, 81 (2), pp. 198-206.
3. 3. Asano, F., Asoh, H., Nakadai, K., 2013. "Sound Source Localization Using Joint Bayesian Estimation With a Hierarchical Noise Model". IEEE Transactions on Audio, Speech, and Language Processing, 21 ( 9), pp. 1953-1965.
4. 4. Kim, D.H., Chung, Yu., 2010. "Accurate Position Detection of Sound Source by Lab View". Proceedings of 20th International Congresson Acoustics, ICA 2010 23-27 August 2010, Sydney, Australia, vol. 4, pp. 2953-2957.
5. 5. Wind, J., Bree, H.-E., Xu, B., 2012. "3D Sound Source Localization and Sound Mapping using a PU Sensor Array". 16th AIAA/CEAS Aeroacoustics Conference, https://doi.org/10.2514/6.2010-3814.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献