@article{MAKHILLJEAS201712914423,
    title = {Prediction Model for Broadcasting Propagation in Urban Area},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {9},
    pages = {2532-2536},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.2532.2536},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.2532.2536},
    author = {Pitak,Pitchaya and},
    keywords = {Broadcasting propagation,optimization methods,path loss model,statistical,prediction},
    abstract = {This study proposes an optimization of the path loss propagation model for prediction digital
terrestrial television broadcasting in urban area Southern of Thailand. The measurement areas are considered
both Songkla and Surathani Provinces that we conducted the data collection of the received signal radio
broadcasting in 4 channels (510-790 MHz). The optimization of the path loss propagation model is based on
Least Square (LS) method. The statistical results such Hata path loss model is optimized as a comparison with
others model. We confirm that the proposed method provides for a data processing suitably in a prediction path
loss model.}
    }