Sentence examples for compressed sense from inspiring English sources
The show focuses on van Gogh's tendency to depict nature in close-up, either in teeming detail or with a highly compressed sense of space, sometimes achieved by high horizon lines and thick brushwork that flatten the image and appear to push the surface of the picture close to the viewer.
The compressive (or compressed) sensing (or sampling) methods, (CS for short) [1] are based on this principle.
In this paper the problem of optimization of the measurement matrix in compressive (also called compressed) sensing framework is addressed.
Over the last few years, advancements in signal processing and data acquisition introduced a new sampling theory known as compressive sampling or compressed sensing [10].
This constrained optimization problem (1.2) arise in many applications, like in image compression, reconstruction, inpainting, segmentation, compressed sensing, etc.
Compressed sensing is a compressible and/or sparse signal that projects a high-dimensional data in low-dimensional space using random measurement matrix.
Such group sparsity solvers include block sparsity-based compressed sensing [20], multi-task Bayesian compressed sensing [21, 22], and distributed compressed sensing [23].
We also calculate the Tspe with the compressed UWB echo data based on the compressed sensing theory.
Compressed sensing is a recent theory aiming at merging data acquisition and compression [1 7].
Bajwa et al. firstly applied compressed sensing (CS) theory for channel estimation and proposed the concept of compressive channel estimation (CCE) [5].
