Patent Document ID: 20010011958
Application ID: 09733323
Patent Flag: 0

Claim One:
1. A method of compressing and reconstructing original data having n rows×m entries using statistical analysis, wherein the n rows are correlated to the m entries and m<n, the method comprising the steps of: (a) obtaining a correlation matrix C having m rows×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 rows×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 I rows×p columns, wherein I is the number of rows to be reconstructed with respect to the m entries; (e) obtaining an intermediate data matrix having I rows×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 I rows×m columns, whereby the reconstructed data matrix has a format of the original data.