Menard 2010, Decomposition of dynamic textures using morphological component analysis: IEEE Transactions on Circuits & Systems for Video Technology, 22, 188–201, doi: 10.1109/TCSVT.2011.2159430. Huo, 2001, Uncertainty principles and ideal atomic decomposition: IEEE Transactions on Information Theory, 47, 2845–2862, doi: 10.1109/18.959265. Shan, 2013, Field testing of fiber-optic distributed acoustic sensing (DAS) for subsurface seismic monitoring: The Leading Edge, 32, 699–706, doi: 10.1190/tle32060699.1. Donoho, 1995, Examples of basis pursuit: Proceedings of SPIE - The International Society for Optical Engineering, 2569, 564–574. Cai, Z., 2015, Fiber coupling noise suppression processing method and device: CN.Tseng, 1998, Block coordinate relaxation methods for nonparametric signal de-noising: Wavelet Applications V, 3391, 75–86, doi: 10.1117/12.304915. IIPRE4 1057-7149 Crossref Web of Science Google Scholar Donoho, 2007, Morphological component analysis: An adaptive thresholding strategy: IEEE Transactions on Image Processing, 16, 2675–2681, doi: 10.1109/TIP.2007.907073. Wills, 2014, Vertical seismic profiling using distributed acoustic sensing in a hydrofrac treatment well: 84th Annual International Meeting, SEG, Expanded Abstracts, 5024–5028, doi: 10.1190/segam2014-1559.1. Applications on a synthetic data set and two field data sets have validated the effectiveness of our method. Based on the MCA theory, we use the block coordinate relaxation algorithm to separate the effective VSP signal and DAS coupling noise. The morphological component analysis (MCA) can use the morphological difference between different components and the overcomplete dictionary to sparsely represent all components in the complicated signal. Therefore, we choose these two transforms as two sparse dictionaries and combine them to form an overcomplete dictionary. The continuous wavelet transform and the discrete cosine transform can sparsely represent the effective VSP signal and DAS coupling noise, respectively. The effective VSP signal has a wide bandwidth, whereas the DAS coupling noise appears in some narrow frequency bands in the frequency domain. In the DAS-based VSP data set, the effective signal and the coupling noise have distinct morphological characteristics. We have developed a sparse-optimization-based DAS coupling noise removing method. Removing the DAS coupling noise can help to improve the quality of the VSP data set acquired with the DAS system. This DAS coupling noise reduces the signal-to-noise ratio and affects the subsequent processing and interpretation. Many factors may cause coherent DAS coupling noise, such as the cable slapping and ringing due to the physical placement, the regular swing of the wireline in the well, and the uncoupling between the fiber cable and the casing. However, in field data, the acquired VSP data set suffers from strong coherent DAS coupling noise. The high-quality data set acquired from the DAS acquisition system can produce high-precision VSP images and obtain more detailed checkshots. The industry treats the distributed acoustic sensing (DAS) system, which uses an optical fiber cable in vertical seismic profiling (VSP) data acquisition, as a new and fast-growing technology. For any requirements on course-ware development please contact us at. We are just a step away to fulfill your eLearning needs.
#Camtasia 2018 noise removal free
Therefore, with this option you can delete the space in between the clips without any gaps in the timeline and can produce bug free video-based eLearning course with Camtasia. So to delete this gap, you need to hit right click at the gap and select ripple delete option which automatically moves the rest of the video part and fills the gap on the timeline.Here, you can observe a gap after deleting a portion from the timeline which results in a black screen after publishing the video.Now, drag them at the either ends and choose delete by pressing delete button on the keyboard or you can do it by right clicking on the selected timeline.Next, you can see a slider where you need to select the starting and ending point of the portion to be deleted by using red and green color sliders on either side.First, insert the required video to your Camtasia timeline.But, there is an option which can save your time with a single click. In Camtasia video editor, you can remove the space between the clips just by dragging all the objects in the timeline.
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