Robustness to clutter
WebDec 4, 2007 · These findings indicate that in natural conditions, the pattern of fMRI response provides robust category information only for objects coded in selective cortical regions … WebOct 21, 2015 · An alternative idea is that recognition is based on a subpopulation of neurons that are robust to clutter, i.e., that do not show response averaging, but rather robust object-selective responses in the presence of clutter.
Robustness to clutter
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WebMar 16, 2024 · Locality: features are local, so robust to occlusion and clutter (no prior segmentation) ... with each adding robustness; This is part of a 7-series Feature Detection … Webundiminished by clutter and partly preserved under diverted attention. These findings indicate that in nat-ural conditions, the pattern of fMRI response provides robust category …
WebA robust design method is proposed to optimise the measurement matrix for a compressive sensing multiple-input multiple-output (CS-MIMO) radar system in the presence of clutter. … WebThis paper considers the robust transmit–receive design for the detection of a moving point-like target embedded in signal-dependent clutter and presents iterative sequential optimization algorithms to sequentially improve the worst-case signal-to-interference-plus-noise ratio (SINR) over clutter statistics. This paper considers the robust transmit–receive …
WebThe traditional power allocation method for multi-target localization adopts the Robust Chance Constrained Power Allocation Scheme (RCC-PA), which does not consider the strong clutter characteristics in the current radar detection environment. However, how to reasonably allocate the power required for the radar to locate the target in the strong … WebSep 7, 2024 · The Robust Ground Clutter Canceller Based on Inaccurate Prior Knowledge in Airborne Radar Two-dimensional pulse-to-pulse canceller (TDPC) of ground clutter can …
WebJan 1, 2024 · 1. Introduction. Sea clutter modeling is the main obstacle of target detection for high-resolution maritime radars. Compound-Gaussian models (CGM) with different types of textures are widely used to characterize sea clutter [1], [2], [3].In a CGM, sea clutter is represented as the product of a slow varying texture component and a fast varying zero …
WebIn this Letter, we focus on the robust design of measurement matrix that maximises the output of worst-case signal-to-clutter-plus-noise ratio (SCNR) for a CS-MIMO radar. Unlike most CS radar papers [1–3], we consider the signal-dependent interference (i.e. clutter) in our CS signal model. Due to the fact that the SCNR is dependent chroma 11210 manualWebDec 4, 2007 · Given that vulnerability to clutter results from overlapping representations, clutter tolerance can be achieved by reducing the overlap. In the extreme case, … chroma 16502 manualWebThese findings indicate that in natural conditions, the pattern of fMRI response provides robust category information only for objects coded in selective cortical regions and highlight the vulnerability of distributed representations to clutter [1, 2] and the advantages of sparse cortical codes in mitigating clutter costs. Documents Authors Tables chroma 19032 manualWebFeb 1, 2024 · To examine the robustness of clutter filtering under different sonographic SNRs, statistical analysis was performed on rSVD- and full-SVD filtered ultrafast … chroma 17020 manualClutter can easily lead to a nearly constant feeling of frustration as you struggle to complete daily tasks. The time you spend looking for objects you need or attempting to organize your items could be time spent with loved ones, doing some self-care , or even just relaxing. chroma 11210-k manualWebthe robustness to clutter is not simply due to higher BOLD responses in category-selective regions. Instead, the critical factor determining robustness is more likely to be the reliable and selective response patterns in cat-egory-selective regions that are not perturbed by the Figure S1. Behavioral Data on the 1-Back Task Performed in the Scanner ghibli creatures of sonoraWebAbstract. Low-level clouds play a key role in the energy budget and hydrological cycle of the climate system. The accurate long-term observation of low-level clouds is essential for understanding their climate effect and model constraints. Both ground-based and spaceborne millimeter-wavelength cloud radars can penetrate clouds but the detected … chrom 4 oxid