Conventional learning-based methods for super-resolution (SR) have proven efficient for their potential of recovering the local details on low-resolution (LR) sharp images. Adaptive Gaussian mixture models (AGMMs) specialized for SR are developed based on the assumption that the corresponding high- and low-resolution image patches can be jointly modeled by GMMs. As a regularization term, the AGMMs are then embedded into the whole image SR models. The embedded AGMMs (EAGMMs) outperform the simple whole image SR models greatly. In addition, EAGMMs can also serve as a common framework for SR on LR blurred images. We have evaluated both AGMMs and EAGMMs on a variety of test images, and obtained very promising and competitive performance. In most cases, AGMMs and EAGMMs generate better results than the state-of-the-art SR methods.
KEYWORDS: Telecommunications, Antennas, Extremely high frequency, Phased arrays, Signal to noise ratio, Signal attenuation, Interference (communication), Absorption, Oxygen, Microwave radiation
Millimeter waves (mmWaves) spectrum ranging from 30GHz to 300GHz is emerging as a potential solution to the bandwidth problem faced by the wireless communication now a days. The advancements in the antenna technology has enabled the fabrication of antenna arrays or phased array systems which when used with techniques like spatial multiplexing and beamforming has enabled the use of mmWaves for both indoor and outdoor communication systems by providing gain and selectivity. This has also opened the doors for its potential use in long range and cellular communications. The 60GHz band also know as the oxygen absorption band due to its higher attenuation and unlicensed operation is a good candidate for use in secure and confined communications.
In this paper we have investigated the performance of a beamformed phased array system in the mmWave spectrum. The performance is measured for varying the source and noise location and compared for a Linear and Rectangular array.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.