求一段中文摘要的英语翻译

This paper is called the use of a independent component analysis (ICA) or blind source separation of signal processing technology, analysis of financial data. Independent component analysis is a more popular in recent years the data-processing tools in biomedical engineering, medical imaging, wireless communications, enhanced voice, speech recognition, seismic exploration, geophysics, econometrics, data mining, and other areas Has a wide range of applications. The topics are the main contents of the use of independent component analysis method, through the collection last year's A-shares in Shanghai and Shenzhen cities of the steel plate of the daily closing stock data, stock data processing analysis. Stock price changes, is composed of many factors determine the potential, if effective access to and analysis of these potential factors is conducive to master the stock market changes and can contribute to effective investment. The goal of this project is through the use of independent component analysis based on one of the remaining independent image of the blind separation method (IRA) for data analysis, from the corresponding characteristics of the different characteristics of the impact of the trend data, as well as through the analysis of experimental data To test whether the independent component analysis can be applied in very good analysis of financial data.