scholarly journals Adaptive Algorithm for Estimation of Two-Dimensional Autoregressive Fields from Noisy Observations

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Alimorad Mahmoudi
Keyword(s):  
Adaptive Algorithm ◽  
Steepest Descent ◽  
Two Dimensional ◽  
Algorithm Performance ◽  
Performance Comparisons

This paper deals with the problem of two-dimensional autoregressive (AR) estimation from noisy observations. The Yule-Walker equations are solved using adaptive steepest descent (SD) algorithm. Performance comparisons are made with other existing methods to demonstrate merits of the proposed method.

MPI+OpenMP Hybrid Parallel Algorithm Performance Research on Two-Dimensional Compressible Flow Field Simulation

2013 ◽  
Vol 275-277 ◽  
pp. 2585-2588
Author(s):  
Xiao Xu ◽  
Xue De Wang ◽  
Jun Jie Tan
Keyword(s):  
Flow Field ◽  
Parallel Algorithm ◽  
Compressible Flow ◽  
Hybrid Algorithm ◽  
Two Dimensional ◽  
Algorithm Performance ◽  
Flow Field Simulation ◽  
Field Simulation ◽  
Parallel Environment ◽  
Performance Research

In the multi-core CPU cluster parallel environment, use MPI+OpenMP hybrid parallel algorithm to optimize the numerical simulation program of two-dimension compressible flow field. Test the program which has been optimized, and compared to the program which has been optimized only by the MPI algorithm, get the conclusion that the MPI+OpenMP hybrid algorithm will have advantages in some conditions, and do some specific research on the application of hybrid algorithm used in the flow field simulation, illustrate in what conditions the MPI+OpenMP hybrid will have advantages.

Palmprint Recognition Based on Sparse Two-Dimensional Local Discriminant Projections

2014 ◽  
Vol 998-999 ◽  
pp. 894-898
Author(s):  
Jian Xin Zhang ◽  
Zhang E Zhang ◽  
Jian Yang Liu
Keyword(s):  
Palmprint Recognition ◽  
Two Dimensional ◽  
Recognition Method ◽  
Resolution Method ◽  
Algorithm Performance ◽  
Feature Extraction Method ◽  
Two Dimensional Image ◽  
Training Samples ◽  
Feature Subspace ◽  
Class Information

A novel palmprint recognition method based on sparse two-dimensional local discriminant projections (S2DLDP) is proposed. After a description of the basic theory and resolution method for S2DLDP, the paper presents the detail palmprint feature extraction method based on S2DLDP, and tests the algorithm performance by various non-zero elements size and neighborhood size. S2DLDP considerers the class information, local separability, two-dimensional image inherent properties of training samples and sparse projection, which provides an intuitive, semantic and interpretable feature subspace for palmprint representation. The optimal recognition accuracy of EER=2.2% is obtained on PolyU palmprint database, which also illuminates the effectiveness of the proposed algorithm.

scholarly journals Automated Quantification of Pneumothorax in CT

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Synho Do ◽  
Kristen Salvaggio ◽  
Supriya Gupta ◽  
Mannudeep Kalra ◽  
Nabeel U. Ali ◽  
...  
Keyword(s):  
Processing Time ◽  
Three Dimensional ◽  
Average Error ◽  
Two Dimensional ◽  
Algorithm Performance ◽  
Automated Method ◽  
Automated Quantification ◽  
Overall Performance ◽  
Processing Techniques ◽  
Aided Diagnosis

An automated, computer-aided diagnosis (CAD) algorithm for the quantification of pneumothoraces from Multidetector Computed Tomography (MDCT) images has been developed. Algorithm performance was evaluated through comparison to manual segmentation by expert radiologists. A combination of two-dimensional and three-dimensional processing techniques was incorporated to reduce required processing time by two-thirds (as compared to similar techniques). Volumetric measurements on relative pneumothorax size were obtained and the overall performance of the automated method shows an average error of just below 1%.

IMPROVED SOLID-STATE DBD FOR PICOSECOND SWITCH

2005 ◽  
Vol 19 (09n10) ◽  
pp. 459-468 ◽  
Author(s):  
FEI ZHANG ◽  
WEN YU ◽  
CHENGFANG LI ◽  
LINA SHI ◽  
XIAOWEI SUN
Keyword(s):  
Solid State ◽  
Optimal Design ◽  
Theoretical Analysis ◽  
Physical Process ◽  
High Power ◽  
Two Dimensional ◽  
Circuit Simulations ◽  
Performance Comparisons

We propose a Si -based delayed breakdown diode (DBD) with an improved three-step gradual changing doping structure for picosecond semiconductor closing switch and discuss the physical process, which underlies the operation principle of high-power closing switch. From the results of two-dimensional mixed device-circuit simulations and theoretical analysis, several parameters of utmost important on the optimal design of picosecond switch are discussed in detail. Performance comparisons of traditional and improved DBDs are given systematically.

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