Investigation of performance trade off in High Reliability and Robust Gradient Orientation on differential sub -pixel displacement optical flow algorithms over Non-Gaussian noisy model

2012 ◽  
Author(s):  
Darun Kesrarat ◽  
Paitoon Porntrakoon ◽  
Vorapoj Patanavijit
Keyword(s):  
Optical Flow ◽  
High Reliability ◽  
Trade Off ◽  
Gradient Orientation ◽  
Non Gaussian

Algorithm Optimization of Motion Tracking Based on Optical Flow

2014 ◽  
Vol 926-930 ◽  
pp. 2938-2941
Author(s):  
Dong Ming Liu ◽  
Chao Liu ◽  
Hai Wei Mu
Keyword(s):  
Optical Flow ◽  
Motion Tracking ◽  
Differential Method ◽  
Video Image ◽  
Time Axis ◽  
Algorithm Optimization ◽  
Image Preprocessing ◽  
Smoothing Filter ◽  
Matching Filter ◽  
Non Gaussian

Optical flow is an important kind of video motion tracking algorithm, and Lucas-Kanade (LK) algorithm is an effective differential method in terms of calculating optical flow. The 3D Gaussian smoothing filter is properly introduced in the image preprocessing stage of the LK algorithm, which makes it possible to increase the correlation of the adjacent pixels in the time axis, improve the blur effect of the video image and overcome the 2D Gaussian filters disadvantage that is not suitable for the video image processing. More importantly, the optimized 3D non-Gaussian matching filter is chosen during the 3D derivative calculating, and it is capable of reducing the error rate of the velocity vector calculation and enhancing the calculation accuracy of the optical flow.

scholarly journals Local and global energy barriers for chiral domain walls in synthetic antiferromagnet-ferromagnet lateral junctions

2021 ◽  
Author(s):  
Jiho Yoon ◽  
See-Hun Yang ◽  
Jae-Chun Jeon ◽  
Andrea Migliorini ◽  
Ilya Kostanovskiy ◽  
...  
Keyword(s):  
Small Volume ◽  
Domain Walls ◽  
High Reliability ◽  
Threshold Current ◽  
Threshold Current Density ◽  
Energy Barriers ◽  
Trade Off ◽  
Synthetic Antiferromagnet ◽  
Fundamental Research ◽  
Low Threshold

Abstract The current induced manipulation of chiral spin textures is of great interest for both fundamental research and technological applications1–3. Of particular interest are magnetic non-volatile memories formed from synthetic antiferromagnetic racetracks in which chiral composite domain walls (DWs), that act as data bits, can be efficiently moved by current4. However, overcoming the trade-off between energy efficiency, namely a low threshold current density to move the domain walls, and high thermal stability, remains a major challenge for the development of integrated chips with high reliability and low power consumption. Here we show that chiral DWs5–7 in a synthetic antiferromagnet-ferromagnet lateral junction, formed by local plasma oxidation, are highly stable against large magnetic fields whilst the DWs can be efficiently moved across the junction by current. Our approach takes advantage of the locality of current-driven torque on the small volume of a chiral DW and the globality of field-torque in the energy landscape, thereby leading to fundamentally distinct energy barriers for motion and stability. We find that the threshold current can be further decreased by tilting the junction across the racetrack while not affecting the high DW stability. Furthermore, we demonstrate that chiral DWs can be robustly confined within a ferromagnet region sandwiched on both their sides by synthetic antiferromagnets and yet can be readily injected into these regions by current. Our findings break the aforementioned trade-off between efficiency and stability, allowing for diverse and versatile DW-based memory, and logic, and beyond.

scholarly journals Reliability-Security Trade-Off Analysis of Cognitive Radio Networks with Jamming and Licensed Interference

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Khuong Ho-Van ◽  
Thiem Do-Dac
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Rayleigh Fading ◽  
Feasible Solution ◽  
Radio Networks ◽  
Power Constraint ◽  
Trade Off ◽  
Maximum Transmit Power ◽  
The Difference ◽  
Non Gaussian

Cognitive radio networks (CRNs) allow coexistence of unlicensed users (UUs) and licensed users (LUs) and hence, mutual interference between UUs and LUs is neither ignored nor considered as Gaussian-distributed quantity. Additionally, exploiting jamming signals to purposely interfere with signal reception of eavesdroppers is a feasible solution to improve security performance of CRNs. This paper analyzes reliability-security trade-off, which accounts for maximum transmit power constraint, interference power constraint, jamming signal, and Rayleigh fading, and considers interference from LUs as non-Gaussian-distributed quantity. Toward this end, exact closed-form expressions of successful detection probability and successful eavesdropping probability, from which reliability-security trade-off is straightforwardly visible, are first suggested and then validated by Monte-Carlo simulations. Various results demonstrate that interference from LUs considerably decreases both probabilities while jamming signal enlarges the difference between them, emphasizing its effectiveness in improving security performance.

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