Compressive sampling for time critical microwave imaging applications
نویسندگان
چکیده
منابع مشابه
An Improved Microwave Imaging Approach by Using Compressive Sampling
In this communication, a preliminary analysis of the solution of microwave imaging problems for ground penetrating radar applications has been proposed. Such a task has been fulfilled by exploiting the theory of compressive sensing in a linearized multiview-multistatic single-frequency framework.
متن کاملA Reconfigurable Real-Time Compressive-Sampling Camera for Biological Applications
Many applications in biology, such as long-term functional imaging of neural and cardiac systems, require continuous high-speed imaging. This is typically not possible, however, using commercially available systems. The frame rate and the recording time of high-speed cameras are limited by the digitization rate and the capacity of on-camera memory. Further restrictions are often imposed by the ...
متن کاملSimulation of a Neutron Detector for Real Time Imaging Applications
Monte Carlo Method is used to simulate a double layer gadolinium-amorphous silicon thermal neutron detector. The detector fabricated in pixel array configuration has various applications including neutron imaging. According to the simulation results, a detector consisting of a gadolinium (Gd) film with thickness of 2-4 ~m, sandwiched properly with two layers of sufficiently thick (-30 ?µm) hydr...
متن کاملQuadrature compressive sampling SAR imaging
This paper presents a quadrature compressive sampling (QuadCS) and associated fast imaging scheme for synthetic aperture radar (SAR). Different from other analog-to-information conversions (AIC), QuadCS AICs using independent spreading signals sample the SAR echoes due to different transmitted pulses. Then the resulting sensing matrix has lower correlation between any two columns than that by a...
متن کاملBeyond incoherence: stable and robust sampling strategies for compressive imaging
In many signal processing applications, one wishes to acquire images that are sparse in transform domains such as spatial finite differences or wavelets using frequency domain samples. For such applications, overwhelming empirical evidence suggests that superior image reconstruction can be obtained through variable density sampling strategies that concentrate on lower frequencies. The wavelet a...
متن کاملذخیره 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: Healthcare Technology Letters
سال: 2014
ISSN: 2053-3713,2053-3713
DOI: 10.1049/htl.2013.0043