Patent ID: 6384746
Filing Date: 2002-05-07
Classification: H03M

Abstract:
A method of compressing and reconstructing original data having n rowsÃ—m entries using statistical analysis, wherein the n rows are correlated to the m entries and m(a) obtaining a correlation matrix C having m rowsÃ—m columns, wherein the correlation matrix C is comprised of correlation coefficients between the m entries; (b) obtaining eigenvectors and eigenvalues of the correlation coefficients in the correlation matrix C; (c) obtaining a factor loading matrix F having m rowsÃ—p columns from the eigenvectors and the eigenvalues using a multivariate analysis, wherein p is a natural number less than or equal to the m entries; (d) generating random numbers to form a random-number matrix having l rowsÃ—p columns, wherein l is the number of rows to be reconstructed with respect to the m entries; (e) obtaining an intermediate data matrix having l rowsÃ—m columns by multiplying the random-number matrix by a transposed matrix of the factor loading matrix F; and (f) scaling the intermediate data matrix according to a scale of the original data to obtain a reconstructed data matrix comprised of elements in l rowsÃ—m columns, whereby the reconstructed data matrix has a format of the original data.