Superresolution SAR image formation via parametric spectral estimation methods

1998 ◽  
Author(s):  
Zhaoqiang Bi ◽  
Jian Li ◽  
Zheng-She Liu
Keyword(s):  
Spectral Estimation ◽  
Image Formation ◽  
Estimation Methods ◽  
Sar Image

SAR image formation via semiparametric spectral estimation

1999 ◽  
Vol 35 (4) ◽  
pp. 1318-1333 ◽  
Author(s):  
Renbiao Wu ◽  
Jian Li ◽  
Zhaoqiang Bi ◽  
P. Stoica
Keyword(s):  
Spectral Estimation ◽  
Image Formation ◽  
Sar Image

scholarly journals Enhancing the quality of communication of cellular networks using big data applications

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mozamel Musa Saeed ◽  
Mohammed Alsharidah
Keyword(s):  
Big Data ◽  
Spectral Density ◽  
Cellular Networks ◽  
Power Spectral Density ◽  
Spectral Estimation ◽  
Estimation Methods ◽  
Spectrum Estimation ◽  
Spectral Densities ◽  
Power Spectral ◽  
Welch Method

AbstractBoth software-defined networking and big data have gained approval and preferences from both industry and academia. These two important realms have conventionally been addressed independently in wireless cellular networks. The discussion taken into consideration in this study was to analyze the wireless cellular technologies with the contrast of efficient and enhanced spectral densities at a reduced cost. To accomplish the goal of this study, Welch's method has been used as the core subject. With the aid of previous research and classical techniques, this study has identified that the spectral densities can be enhanced at reduced costs with the help of the power spectral estimation methods. The Welch method gives the result on power spectrum estimation. By reducing the effect of noise, the Welch method is used to calculate the power spectral density of a signal. When data length is increased, Welch's method is considered the best as a conclusion to this paper because excellent results are yielded by it in the area of power spectral density estimation.

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