Spectrum Separation for Electromagnetic Noise using Eigen-Value Decomposition of Correlation Matrix

2005 ◽  
Author(s):  
H. Hirayama ◽  
N. Kikuma ◽  
K. Sakakibara
Keyword(s):  
Correlation Matrix ◽  
Electromagnetic Noise ◽  
Eigen Value ◽  
Value Decomposition

Satellite Fault Detection and Isolation through Decoupling Parity Space

2011 ◽  
Vol 110-116 ◽  
pp. 4406-4414
Author(s):  
Zheng Wang ◽  
Yan Jun Li ◽  
Xiao Wei Sun
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Fault Detection And Isolation ◽  
Actuator Fault ◽  
Actuator Faults ◽  
Eigen Value ◽  
Parity Space ◽  
Simulation Results ◽  
Value Decomposition ◽  
Space Method

In order to detect and isolate orbiting satellite actuator faults, a decoupling parity space method was extended. The decoupling parity vector was obtained using this method by singular value decomposition. Sometimes this vector may not exist, then by singular value substitution or generalized Eigen value method was used for solving the optimal approximation. The vector can easily make satellite actuator fault detected and isolated. The simulation results showed the effectiveness of the proposed algorithm.

Morphological descriptors based on Eigen value decomposition for P-wave analysis

2008 ◽  
Author(s):  
F. Castells ◽  
J. Lorenz ◽  
A.M. Climent ◽  
M.S. Guillem ◽  
D. Husser ◽  
...  
Keyword(s):  
P Wave ◽  
Wave Analysis ◽  
Morphological Descriptors ◽  
Eigen Value ◽  
Value Decomposition

scholarly journals ANALISIS NILAI PELANGGAN YANG MEMPENGARUHI LOYALITAS (STUDI KASUS PADA BANK KBPR JETIS PONOROGO)

2018 ◽  
Vol 10 (2) ◽  
pp. 263-282
Author(s):  
Mashariono Mashariono ◽  
Hening Widi Oetomo
Keyword(s):  
Correlation Matrix ◽  
Analysis Data ◽  
Retail Banking ◽  
Business Survival ◽  
Five Factors ◽  
Bartlett’S Test ◽  
Eigen Value ◽  
Predominant Factor ◽  
Customer's Loyalty ◽  
Product Factor

Retail Banking (BPR) in Jetis Ponorogo has interest in its business survival partly because of the high loyalty of its customers. Therefore, it is essential to know what factors influence the customer’s loyalty. The appropriate method for addressing the above-mentioned problem is factor analysis. Data collected from a sample of 155 respondents and there are 12 variables used in this study. The results are from 12 variables, all of them are usable and grouped into five new factor based on eigen value more than 1 (> = 1). The five factors are: Humane Products Factor has eigen value of 2,597 with variant percentage of 21,643%; Trust Factor has eigen value of 2,096 with variant percentage of 17,463%; Sincerity Factor has eigen value of 1,536 with variant percentage of 12,797%; Hospitality Factor has eigen value of 1,261 with variant percentage of 10,506%; Professionalism Factor has eigen value of 1,067 with variant percentage of 8,888%. From correlation matrix, we get value from Bartlett’s Test of Sphericity (BTS) of 433,290, which suggest that on correlation matrix there are correlation between factors supported by Kaiser-Meyer-Olkin (KMO) value of 0,606 and variant cumulative value of 71,298%.Based on the results, it is suggested that it would be better for the company to develop some humane product factor analyzed in this study because it is the predominant factor in affecting the customers’ loyalty. The customers’ loyalty is an important factor in guarantee the survival of Retail Banking (BPR) in Jetis Ponorogo.

scholarly journals ANALISIS NILAI PELANGGAN YANG MEMPENGARUHI LOYALITAS (Studi Kasus Pada Bank KBPR Jetis Ponorogo)

2017 ◽  
Vol 10 (2) ◽  
pp. 263
Author(s):  
Mashariono Mashariono ◽  
Hening Widi Oetomo
Keyword(s):  
Correlation Matrix ◽  
Analysis Data ◽  
Retail Banking ◽  
Business Survival ◽  
Five Factors ◽  
Bartlett’S Test ◽  
Eigen Value ◽  
Predominant Factor ◽  
Customer's Loyalty ◽  
Product Factor

Retail Banking (BPR) in Jetis Ponorogo has interest in its business survival partly because of the high loyalty of its customers. Therefore, it is essential to know what factors influence the customer’s loyalty. The appropriate method for addressing the above-mentioned problem is factor analysis. Data collected from a sample of 155 respondents and there are 12 variables used in this study. The results are from 12 variables, all of them are usable and grouped into five new factor based on eigen value more than 1 (> = 1). The five factors are: Humane Products Factor has eigen value of 2,597 with variant percentage of 21,643%; Trust Factor has eigen value of 2,096 with variant percentage of 17,463%; Sincerity Factor has eigen value of 1,536 with variant percentage of 12,797%; Hospitality Factor has eigen value of 1,261 with variant percentage of 10,506%; Professionalism Factor has eigen value of 1,067 with variant percentage of 8,888%. From correlation matrix, we get value from Bartlett’s Test of Sphericity (BTS) of 433,290, which suggest that on correlation matrix there are correlation between factors supported by Kaiser-Meyer-Olkin (KMO) value of 0,606 and variant cumulative value of 71,298%.Based on the results, it is suggested that it would be better for the company to develop some humane product factor analyzed in this study because it is the predominant factor in affecting the customers’ loyalty. The customers’ loyalty is an important factor in guarantee the survival of Retail Banking (BPR) in Jetis Ponorogo.

scholarly journals Enhanced 2D-DOA Estimation for Large Spacing Three-Parallel Uniform Linear Arrays

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Dong Zhang ◽  
Yongshun Zhang ◽  
Cunqian Feng
Keyword(s):  
Elevation Angle ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Low Complexity ◽  
Estimation Accuracy ◽  
Linear Arrays ◽  
Eigen Value ◽  
Directional Cosine ◽  
2D Doa Estimation ◽  
Value Decomposition

An enhanced two-dimensional direction of arrival (2D-DOA) estimation algorithm for large spacing three-parallel uniform linear arrays (ULAs) is proposed in this paper. Firstly, we use the propagator method (PM) to get the highly accurate but ambiguous estimation of directional cosine. Then, we use the relationship between the directional cosine to eliminate the ambiguity. This algorithm not only can make use of the elements of the three-parallel ULAs but also can utilize the connection between directional cosine to improve the estimation accuracy. Besides, it has satisfied estimation performance when the elevation angle is between 70° and 90° and it can automatically pair the estimated azimuth and elevation angles. Furthermore, it has low complexity without using any eigen value decomposition (EVD) or singular value decompostion (SVD) to the covariance matrix. Simulation results demonstrate the effectiveness of our proposed algorithm.

Evaluation of document binarization using eigen value decomposition

2013 ◽  
Author(s):  
Deepak Kumar ◽  
M. N. Anil Prasad ◽  
A. G. Ramakrishnan
Keyword(s):  
Eigen Value ◽  
Value Decomposition ◽  
Document Binarization
Sign in / Sign up

Export Citation Format

Share Document