An Enhanced Estimation Algorithm for Reconstructing Fingerprint Strip Image

2006 ◽  
pp. 48-55
Author(s):  
Woong-Sik Kim ◽  
Weon-Hee Yoo ◽  
Jang-Hyun Park ◽  
Bok-Ki Kim
Keyword(s):  
Estimation Algorithm

The Statistical Evaluations of Transmission Characteristics, Limits of Ranges and Speeds of Transmission of Information Via the Pulsed Atmospheric Bistatic Optical Channels

2019 ◽  
pp. 97-104
Author(s):  
Mikhail V. Tarasenkov ◽  
Egor S. Poznakharev ◽  
Vladimir V. Belov
Keyword(s):  
Communication Systems ◽  
Estimation Algorithm ◽  
Transmission Characteristics ◽  
Radiation Beam ◽  
Optical Channels ◽  
The Monte Carlo Method ◽  
Wide Range ◽  
Transmission Of Information ◽  
Optical Axes ◽  
Visibility Range

The simulation program by the Monte Carlo method of pulse reactions of bistatic atmospheric aerosol-gas channels of optical-electronic communication systems (OECS) is created on the basis of the modified double local estimation algorithm. It is used in a series of numerical experiments in order to evaluate statistically the transfer characteristics of these channels depending on the optical characteristics of an atmosphere plane-parallel model for wavelengths λ = 0.3, 0.5, and 0.9 μm at a meteorological visibility range SM = 10 and 50 km. The results are obtained for a set of basic distances between the light source and the light receiver up to 50 km and for the angular orientations of the optical axes of a laser radiation beam and of the receiving system in a wide range of their values. The dependences of the pulse reactions maximum values over-the-horizon channels of the OECS on the variations of these parameters are established.

Super Resolution TOA Estimation Algorithm with Maximum Likelihood ICA Based Pre-Processing

2013 ◽  
Vol E96.B (5) ◽  
pp. 1194-1201 ◽  
Author(s):  
Tetsuhiro OKANO ◽  
Shouhei KIDERA ◽  
Tetsuo KIRIMOTO
Keyword(s):  
Maximum Likelihood ◽  
Super Resolution ◽  
Estimation Algorithm ◽  
Toa Estimation

Tire Rolling Kinematics Model for an Intelligent Tire Based on an Accelerometer

2020 ◽  
Vol 48 (4) ◽  
pp. 287-314
Author(s):  
Yan Wang ◽  
Zhe Liu ◽  
Michael Kaliske ◽  
Yintao Wei
Keyword(s):  
Elastic Deformation ◽  
Estimation Algorithm ◽  
Force Sensor ◽  
Euler Method ◽  
Rolling Contact ◽  
Body Motion ◽  
Identification Algorithm ◽  
Active Perception ◽  
Kinematics Model ◽  
Ring Model

ABSTRACT The idea of intelligent tires is to develop a tire into an active perception component or a force sensor with an embedded microsensor, such as an accelerometer. A tire rolling kinematics model is necessary to link the acceleration measured with the tire body elastic deformation, based on which the tire forces can be identified. Although intelligent tires have attracted wide interest in recent years, a theoretical model for the rolling kinematics of acceleration fields is still lacking. Therefore, this paper focuses on an explicit formulation for the tire rolling kinematics of acceleration, thereby providing a foundation for the force identification algorithms for an accelerometer-based intelligent tire. The Lagrange–Euler method is used to describe the acceleration field and contact deformation of rolling contact structures. Then, the three-axis acceleration vectors can be expressed by coupling rigid body motion and elastic deformation. To obtain an analytical expression of the full tire deformation, a three-dimensional tire ring model is solved with the tire–road deformation as boundary conditions. After parameterizing the ring model for a radial tire, the developed method is applied and validated by comparing the calculated three-axis accelerations with those measured by the accelerometer. Based on the features of acceleration, especially the distinct peak values corresponding to the tire leading and trailing edges, an intelligent tire identification algorithm is established to predict the tire–road contact length and tire vertical load. A simulation and experiments are conducted to verify the accuracy of the estimation algorithm, the results of which demonstrate good agreement. The proposed model provides a solid theoretical foundation for an acceleration-based intelligent tire.

Fast motion estimation algorithm for H.264 with multi-references

2009 ◽  
Vol 29 (5) ◽  
pp. 1362-1364
Author(s):  
Li-li WANG ◽  
Xiao-ge HUANG ◽  
Ming ZHANG
Keyword(s):  
Motion Estimation ◽  
Estimation Algorithm ◽  
Fast Motion Estimation ◽  
Fast Motion ◽  
Motion Estimation Algorithm

Fast disparity estimation algorithm based on features of disparity vector

2013 ◽  
Vol 32 (6) ◽  
pp. 1856-1859
Author(s):  
Xiao-wei SONG ◽  
Lei YANG ◽  
Zhong LIU ◽  
Liang LIAO
Keyword(s):  
Estimation Algorithm ◽  
Disparity Estimation ◽  
Disparity Vector

A Fast Multi-Pattern Motion Estimation Algorithm Based on Quantum Clonal Selection

2011 ◽  
Vol 30 (10) ◽  
pp. 2311-2314
Author(s):  
Zhen Liu ◽  
Zhong-ying Bai ◽  
Jin-ming Shi ◽  
Zhao-wen Lin
Keyword(s):  
Motion Estimation ◽  
Clonal Selection ◽  
Estimation Algorithm ◽  
Pattern Motion ◽  
Motion Estimation Algorithm
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