Exact Separation of k-Projection Polytope Constraints

Author(s):  
Elspeth Adams ◽  
Miguel F. Anjos
Keyword(s):  
2019 ◽  
Vol 720 ◽  
pp. 93-96
Author(s):  
Anjana R. Kammath ◽  
Raghunathan Ramakrishnan

2013 ◽  
Vol 47 (4) ◽  
pp. 1834
Author(s):  
E. Profitis ◽  
D. Kapatos ◽  
E. Chatzitheodoridis ◽  
D. Xirouchakis ◽  
C. Loupasakis

Geometrical parameters of natural and crushed aggregates such as grain length, perimeter, area, etc., underline the shape and flakiness indices definition. The latter indices have a measurable effect on the mechanical properties of aggregates–binder mixtures, e.g. concrete, mortar, bituminous mixtures. In this work, digital methods were developed with the mathematical software Matlab, by applying a statistical method called k-means clustering for the exact separation between background and aggregates to compute the aforementioned properties. The overall code can be applied in real time by analysing quickly a large volume of data with accuracy and significant cost reduction. Currently, only the two dimensions of the grains could be measured. Future work will focus on full three-dimensional measurements by comparing paired images taken from different angles but also aggregate segmentation in case of touching particles.


1861 ◽  
Vol s2-32 (94) ◽  
pp. 26-29
Author(s):  
M. C. Lea
Keyword(s):  

In the Modern day electronic fighting Systems the utilization of range has been broadened with a proficient way which makes the recognizable proof of the signal difficult. Modern radars use recurrence and stage tweaked signs to spread their range to enhance the handling gain. The way toward finding the balance arrangement of a perceived signal, the moderate development between signal distinguishing proof and demodulation, is an imperative task of a wise recipient, with various customary resident and military applications. Obviously, with no learning of the transmitted data and various cloud parameters at the authority, for instance, the signal control, carrier repeat and stage offsets, data, and so on., daze distinguishing proof of the adjustment is a troublesome assignment. This turns out to be considerably additionally difficult in certifiable situations. Wideband direct recurrence tweaked (LFM) signal is generally utilized in exact separation estimating radar framework. As customary techniques for creating LFM signal have a great deal of detriments, for example, shakiness and nonlinearity we propose an alternate answer for wideband LFM signal generator in L-band dependent on DDS and recurrence augmentation. The proposed strategy creates the baseband LFM signal utilizing the DDS, and after that includes the baseband motion into the recurrence duplication framework; last we can accomplish an unadulterated L-band wideband LFM signal. The estimation result demonstrates that the proposed can satisfy every prerequisite of anticipant palatably.


2017 ◽  
Vol 209 (3) ◽  
pp. 1735-1739 ◽  
Author(s):  
Fredrik Andersson ◽  
Johan O.A. Robertsson ◽  
Dirk-Jan van Manen ◽  
Jens Wittsten ◽  
Kurt Eggenberger ◽  
...  

Abstract In this paper we prove that the recently introduced method of signal apparition optimally separates signals from interfering sources recorded during simultaneous source seismic data acquisition. By utilizing a periodic sequence of source signatures along one source line, that wavefield becomes separately partially visible in the spectral domain where it can be isolated from interfering signals, processed, and subtracted from the original recordings, thereby separating the wavefields from each other. Whereas other methods for simultaneous source separation can recover data in a triangle-shaped region in the spectral domain, signal apparition allows for the exact separation of data in a diamond-shaped region that is twice as large thereby enabling superior reconstruction of separated wavefields throughout the entire data bandwidth.


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