Adaptive noise injection for input variables relevance determination

1997 ◽  
pp. 463-468 ◽  
Author(s):  
Yves Grandvalet ◽  
Stéphane Canu
Keyword(s):  
Noise Injection ◽  
Input Variables ◽  
Adaptive Noise

scholarly journals Efficient image noise estimation based on skewness invariance and adaptive noise injection

2020 ◽  
Vol 14 (7) ◽  
pp. 1393-1401
Author(s):  
Ben Ma ◽  
Jincao Yao ◽  
Yanfen Le ◽  
Chuan Qin ◽  
Heng Yao
Keyword(s):  
Image Noise ◽  
Noise Estimation ◽  
Noise Injection ◽  
Adaptive Noise

scholarly journals Adaptive Noise Injection against Side-Channel Attacks on ARM Platform

2019 ◽  
Vol 6 (19) ◽  
pp. 159346
Author(s):  
Naiwei Liu ◽  
Wanyu Zang ◽  
Songqing Chen ◽  
Meng Yu ◽  
Ravi Sandhu
Keyword(s):  
Side Channel ◽  
Side Channel Attacks ◽  
Noise Injection ◽  
Adaptive Noise

Path Tracking Controller Design of Automatic Guided Vehicle Based on Four-Wheeled Omnidirectional Motion Model

2020 ◽  
Vol 17 (2) ◽  
pp. 7996-8010
Author(s):  
X. Wu ◽  
Y. Yang
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Threshold Value ◽  
Position Angle ◽  
Path Tracking ◽  
Global Coordinate System ◽  
Automatic Guided Vehicle ◽  
Input Variables ◽  
Industrial Pc

This paper presents a new design of omnidirectional automatic guided vehicle based on a hub motor, and proposes a joint controller for path tracking. The proposed controller includes two parts: a fuzzy controller and a multi-step predictive optimal controller. Firstly, based on various steering conditions, the kinematics model of the whole vehicle and the pose (position, angle) model in the global coordinate system are introduced. Secondly, based on the modeling, the joint controller is designed. Lateral deviation and course deviation are used as the input variables of the control system, and the threshold value is switched according to the value of the input variable to realise the correction of the large range of posture deviation. Finally, the joint controller is implemented by using the industrial PC and the self-developed control system based on the Freescale minimum system. Path tracking experiments were made under the straight and circular paths to test the ability of the joint controller for reducing the pose deviation. The experimental results show that the designed guided vehicle has excellent ability to path tracking, which meets the design goals.

Energy Detection Based Estimation of Channel Occupancy Rate with Adaptive Noise Estimation

2012 ◽  
Vol E95-B (4) ◽  
pp. 1076-1084 ◽  
Author(s):  
Janne J. LEHTOMÄKI ◽  
Risto VUOHTONIEMI ◽  
Kenta UMEBAYASHI ◽  
Juha-Pekka MÄKELÄ
Keyword(s):  
Energy Detection ◽  
Noise Estimation ◽  
Occupancy Rate ◽  
Adaptive Noise ◽  
Channel Occupancy
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