원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.6 No.6
2013.12
pp.79-92
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
According to electric power harmonic measuring method of the digital sampling, the simulating was carried out in this paper, thus a kind of based on Newton iterative blind source analysis of Fast - three times the ICA algorithm was Put forward, and its convergence was proved, the simulation analysis of the real-time error and measurement algorithm was finished, its instantaneity and measuring of the algorithm was proved.
목차
Abstract
1. Introduction
2. The Analysis of Power Harmonic Detection Algorithm
2.1 Nuttall Window Interpolation FFT Harmonic Analysis Method
2.2 At the same Time Dagonalization Second-Order Blind Identification of Harmonic Test
2.3 Power Grid Harmonic Detection Method based on Mallat Wavelet
3. Independent Component Analysis
4. Improved Fast-ICA Algorithm
4.1 Input Variable Pretreatment Unit
4.2 The Correlation Criterion of Separation of Variables Y
4.3 Improved Fast -ICA Algorithm
4.4 Proof of Convergence
5. Simulation and Result Analysis
5.1 Experiment 1
5.2 Experiment 2
5.3 Improved Algorithm Performance Analysis
6. Conclusions
References
1. Introduction
2. The Analysis of Power Harmonic Detection Algorithm
2.1 Nuttall Window Interpolation FFT Harmonic Analysis Method
2.2 At the same Time Dagonalization Second-Order Blind Identification of Harmonic Test
2.3 Power Grid Harmonic Detection Method based on Mallat Wavelet
3. Independent Component Analysis
4. Improved Fast-ICA Algorithm
4.1 Input Variable Pretreatment Unit
4.2 The Correlation Criterion of Separation of Variables Y
4.3 Improved Fast -ICA Algorithm
4.4 Proof of Convergence
5. Simulation and Result Analysis
5.1 Experiment 1
5.2 Experiment 2
5.3 Improved Algorithm Performance Analysis
6. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보