Achieving Real-Time Efficiency for Adaptive Radar Pulse Compression

2007 ◽  
Author(s):  
Shannon D. Blunt ◽  
Thomas Higgins
Keyword(s):  
Real Time ◽  
Pulse Compression ◽  
Time Efficiency ◽  
Adaptive Radar

scholarly journals Fast Finger Vein Recognition Based on Sparse Matching Algorithm under a Multicore Platform for Real-Time Individuals Identification

Symmetry ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1167
Author(s):  
Ruber Hernández-García ◽  
Ricardo J. Barrientos ◽  
Cristofher Rojas ◽  
Wladimir E. Soto-Silva ◽  
Marco Mora ◽  
...  
Keyword(s):  
Real Time ◽  
State Of The Art ◽  
Individual Identification ◽  
Affine Transformations ◽  
Private Companies ◽  
Time Efficiency ◽  
Finger Vein ◽  
Vein Recognition ◽  
Coarse To Fine ◽  
Finger Vein Recognition

Nowadays, individual identification is a problem in many private companies, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. Finger vein recognition is a modern biometric technique, which has several advantages, especially in terms of security and accuracy. However, image deformations and time efficiency are two of the major limitations of state-of-the-art contributions. In spite of affine transformations produced during the acquisition process, the geometric structure of finger vein images remains invariant. This consideration of the symmetry phenomena presented in finger vein images is exploited in the present work. We combine an image enhancement procedure, the DAISY descriptor, and an optimized Coarse-to-fine PatchMatch (CPM) algorithm under a multicore parallel platform, to develop a fast finger vein recognition method for real-time individuals identification. Our proposal provides an effective and efficient technique to obtain the displacement between finger vein images and considering it as discriminatory information. Experimental results on two well-known databases, PolyU and SDUMLA, show that our proposed approach achieves results comparable to deformation-based techniques of the state-of-the-art, finding statistical differences respect to non-deformation-based approaches. Moreover, our method highly outperforms the baseline method in time efficiency.

Real-Time Interpolator and Contour Tracking in Link-Space for a 3 DOF Parallel Mechanism

2008 ◽  
Vol 594 ◽  
pp. 415-436
Author(s):  
Yuan Ming Cheng ◽  
Chien Hsun Kuo ◽  
Jih Hua Chin
Keyword(s):  
Real Time ◽  
Trajectory Tracking ◽  
Inverse Kinematics ◽  
Parallel Mechanism ◽  
Contour Tracking ◽  
Control Points ◽  
Parallel Mechanisms ◽  
Time Efficiency ◽  
Compensation Control ◽  
Space Approach

Parallel mechanisms could be hardly used in contour tracking because of their mechanism features. This study proposed a link-space real time contour tracking for a 3 DOF (Z、α and β) hydraulic parallel mechanism. The essence of this approach is to convert control points of command trajectory to link space by inverse kinematics. A real-time interpolator was created and the multi-axis cross-coupled pre-compensation control (MCCPM) was constructed for link-space contour tracking. It was shown that a contour-accurate trajectory tracking could be performed which was impossible in the original Z-α-β space. Other advantages of this link-space approach were time efficiency and the uniform tracking velocity.

Real-time pulse compression radar waveform generation and digital matched filtering

2015 ◽  
Author(s):  
Adnan Orduyilmaz ◽  
Gokhan Kara ◽  
Mahmut Serin ◽  
Alper Yildirim ◽  
Ali Cafer Gurbuz ◽  
...  
Keyword(s):  
Real Time ◽  
Pulse Compression ◽  
Matched Filtering ◽  
Waveform Generation ◽  
Pulse Compression Radar ◽  
Time Pulse
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