1,358,784 research outputs found
Capon- and APES-Based SAR Processing: Performance and Practical Considerations
No full textThis paper discusses the use of Capon's minimum-variance method (MVM) and Amplitude and Phase EStimation (APES) spectral-estimation algorithms to synthetic aperture radar range�azimuth focusing. The rationale of the algorithms is discussed. An implementation of a Capon or APES processing chain is explained, and processing parameters such as chip-image size, resampling factor, and diagonal loading are discussed. For multichannel cases, a joint-processing approach is presented. A set of Monte Carlo simulations are described and used to benchmark Capon- and APES-based processing against conventional matched-filter-based approaches. Both methods improve the resolution and reduce sidelobes. APES yields generally better estimates of amplitude and phase than Capon but with worse resolution. Results with RADARSAT-2 quad-polarization data over Barcelona are used to qualitatively study the real-life performance of these algorithms
Capon, W A, NX30166
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/375906Surname: CAPON. Given Name(s) or Initials: W A. Military Service Number or Last Known Location: NX30166. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 35894.256683
Item: [2016.0049.08214] "Capon, W A, NX30166
Éléments provisoires de la planète (BR)
No full textCapon A. Éléments provisoires de la planète (BR). In: Bulletin astronomique, tome 12, 1895. p. 118
Éléments de la planète (307)
No full textCapon A. Éléments de la planète (307). In: Bulletin astronomique, tome 9, 1892. pp. 248-249
Climate change and the future of Australian riverine vegetation
No full textFreshwater and riparian ecosystems are likely to be highly vulnerable to the effects of the current phase of rapid, anthropogenic climate change because of their high levels of exposure and sensitivity to changes in climatic stimuli. Furthermore, the adaptive capacity of these ecosystems has been limited due to human activities ( Capon et al . 2013 ; Capon and Bunn 2015 ). Riverine vegetation is exposed to all the direct influences of rising CO 2 and the climatic changes driven by this described for terrestrial vegetation, including elevated temperatures, altered precipitation and evapotranspiration pat-terns. Additionally, climate change has many indirect effects on riverine vegetation as a result of changes in soil moisture, hydrology and, in coastal situations, sea level rise and storm surges. Arguably, no other vegetation type is subject to the same levels of exposure and yet relatively little is known about how plants in Australian riverine habitats may respond.
While climate has similar influences on riparian vegetation across the globe, the Australian context differs in the highly weathered and low-nutrient soils that characterise much of the continent. Furthermore, Australian inland rivers are among the most hydrologically variable in the world ( Puckridge et al . 1998) due to highly variable temperatures, precipitation and corresponding hydrological regimes. Australia’s uniqueness has important implications for how the vegetation of Australian riverine systems may respond to a changing climate and their capacity to adapt. Riverine vegetation is found throughout many Australian landscapes, including desert, alpine, temperate, subtropical, tropical and Mediterranean. Riverine vegetation often differs in structure, composition and distinctiveness from the surrounding terrestrial vegetation. Under rising CO 2 and other climate change effects, the structure and function of riverine ecosystems in most landscapes are likely to change although the direction and magnitude of this will differ between regions, landscape position and ecosystem type (Catford et al . 2013).No Full Tex
Éléments provisoires de la planète (CB)
No full textCapon A. Éléments provisoires de la planète (CB). In: Bulletin astronomique, tome 12, 1895. p. 454
Éléments de la planète CB = 407
No full textCapon A. Éléments de la planète CB = 407. In: Bulletin astronomique, tome 14, 1897. pp. 69-70
Éléments de la planète 1894 (AR) et éphéméride pour 1895,
No full textCapon A. Éléments de la planète 1894 (AR) et éphéméride pour 1895. In: Bulletin astronomique, tome 11, 1894. pp. 390-392
Persistent scatterer densification through the application of capon- And APES-Based SAR reprocessing algorithms
No full textCapon's minimum-variance method (MVM) and amplitude and phase estimation (APES) spectral estimation algorithms can be applied to synthetic aperture radar (SAR) processing to improve the resolution and suppress sidelobe levels. In this paper, we use Capon-/APES-based SAR reprocessing algorithms to increase the persistent scatterer (PS) density in PS interferometry (PSI). We propose a PS candidate (PSC) selection algorithm applicable to the superresolution reprocessed images and the corresponding processing chain. The performance of the proposed algorithm is evaluated by a number of simulations and a stack of TerraSAR-X data. The results show that the Capon algorithm outperforms others in PSC selection. We present a full PSI time-series analysis on the PSCs extracted from the Capon-reprocessed stacks. The results show that the PS density is increased between 50% and 60%, while their interferometric quality is maintained.Mathematical Geodesy and Positionin
Targeting CAPON to modulate the CAPON–NOS Axis: a computational approach
No full textThe carboxy-terminal PDZ ligand of neuronal nitric oxide synthase (CAPON) serves as a critical regulatory protein controlling nitric oxide (NO) signaling across multiple physiological and pathological processes which encompass neurological, cardiac and metabolic functions. These diverse physiological roles of CAPON marks it as a key therapeutic target for conditions associated with its dysregulation. Despite this therapeutic potential there are no specific CAPON or nNOS/CAPON modulators which have been developed to date, highlighting a significant gap in targeted drug discovery. Herein, we report the first strategy specifically focused on disrupting the nNOS/CAPON protein-protein interface. Through screening of a chemical library composed of 4.6 million compounds and 13 molecular dynamics simulations, nine potential hit compounds were identified. This work represents a foundational step toward developing targeted therapies for CAPON-mediated disorders.Beyond identifying these promising hits, our approach introduces three python-based drug discovery tools: (i) a Python-based toolset for NMR structural analysis, clustering and visualization, (ii) accelerated ligand preparation toolkit, (iii) Automated hit prioritization pipeline based on multi-method consensus scoring approach that takes in account docking scores and MMGBSA. Collectively, these tools form an accelerated drug discovery pipeline that automates most of the virtual screening process and offers a scalable computational framework to support future drug discovery targeting protein–protein interactions
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