Advanced time series synthesizer for simulation of joint rain attenuation conditions

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

a time-series analysis of the demand for life insurance in iran

با توجه به تجزیه و تحلیل داده ها ما دریافتیم که سطح درامد و تعداد نمایندگیها باتقاضای بیمه عمر رابطه مستقیم دارند و نرخ بهره و بار تکفل با تقاضای بیمه عمر رابطه عکس دارند

Prediction of Rain Attenuation Series with Discretized Spectral Model

The rain attenuation plays a major role in the design of satellite-to-earth links operating at high frequencies such as Ka band and Ku band. The signal suffers from a strong attenuation during the propagation path as raindrops absorb and scatter radio waves, which results in an increase of transmission error and reduction of the system availability [1]. Predicting rain attenuation is one of the...

متن کامل

Short-term prediction of rain attenuation using financial time series models

The constant demand for increased capacity of communication channels has led the SATCOM industry to develop new satellite systems operating at frequencies above 20 GHz where large bandwidths are available (EHF band – Extremely High Frequencies). Nevertheless, attenuation effects of atmospheric gases, clouds and rain can reach significant levels at these frequencies and it is no longer cost-effe...

متن کامل

Rain Attenuation at Terahertz

Rain attenuation values were calculated using empirical raindrop-size distributions, which were, Marshall-Palmer (M-P), Best, Polyakova-Shifrin (P-S) and Weibull raindrop-size distributions, and also calculated using a specific rain attenuation model for prediction methods recommended by ITU-R. Measurements of Terahertz wave taken at 313 GHz (0.96 mm) were compared with our calculations. Result...

متن کامل

Detecting Rhythms in Time Series with RAIN

A fundamental problem in research on biological rhythms is that of detecting and assessing the significance of rhythms in large sets of data. Classic methods based on Fourier theory are often hampered by the complex and unpredictable characteristics of experimental and biological noise. Robust nonparametric methods are available but are limited to specific wave forms. We present RAIN, a robust ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Radio Science

سال: 2014

ISSN: 0048-6604

DOI: 10.1002/2014rs005541