نتایج جستجو برای: compressed sensing
تعداد نتایج: 144118 فیلتر نتایج به سال:
Endogenous Sparse Recovery
Compressed sensing is the theory and practice of subNyquist sampling of sparse signals of interest. Perfect reconstruction may then be possible with significantly fewer than the Nyquist required number of data. In this work, we consider a video system where acquisition is performed via framewise pure compressed sensing. The burden of quality video sequence reconstruction falls, then, solely on ...
The central idea of compressed sensing is to exploit the fact that most signals of interest are sparse in some domain and use this to reduce the number of measurements to encode. However, if the sparsity of the input signal is not precisely known, but known to lie within a specified range, compressed sensing as such cannot exploit this fact and would need to use the same number of measurements ...
Currently many types of microscopy are limited, in terms of spatial and temporal resolution, by hardware (e.g., camera framerate, data transfer rate, data storage capacity). The obvious approach to solve the resolution problem is to develop better hardware. An alternative solution, which additionally benefits from improved hardware, is to apply compressive sensing (CS) [1]. CS approaches have b...
As a newly proposed theory, compressive sensing (CS) is commonly used in signal processing area. This paper investigates the applications of compressed sensing (CS) in wireless sensor networks (WSNs). First, the development and research status of compressed sensing technology and wireless sensor networks are described, then a detailed investigation of WSNs research based on CS are conducted fro...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید