Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An important potential application of Radio Tomographic Imaging is the estimation of building floor plans and interior features in a wireless network.  proposes a novel technique for the regularization of solutions to RTI problems with the goal of enhancing building floor plan images. This is done by exploiting a-priori information about the structure, and therefore spatial covariance, of typical buildings. An elliptically-shaped covariance function is used to better model the spatial covariances of pixels in floor plan images. Our approach is verified through simulation, showing improvements over the widely applied Tikhonov regularization method. Our results show reductions in mean-squared error, while also increasing SSIM, a popular measure of subjective image quality.
['Brian Beck', 'Robert J. Baxley', 'Xiaoli Ma']
I am writing a research paper on a idea Regularization techniques for floor plan estimation in Radio Tomographic Imaging
[{"from": "human", "value": "I am writing a research paper on a idea Regularization techniques for floor plan estimation in Radio Tomographic Imaging"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An important potential application of Radio Tomographic Imaging is the estimation of building floor plans and interior features in a wireless network.  proposes a novel technique for the regularization of solutions to RTI problems with the goal of enhancing building floor plan images. This is done by exploiting a-priori information about the structure, and therefore spatial covariance, of typical buildings. An elliptically-shaped covariance function is used to better model the spatial covariances of pixels in floor plan images. Our approach is verified through simulation, showing improvements over the widely applied Tikhonov regularization method. Our results show reductions in mean-squared error, while also increasing SSIM, a popular measure of subjective image quality."}]