Information characteristics of discrete K-L transform based on information entropy
(1. College of Information Science and Engineering,
Shandong Agricultural University, Tai＇an 271018, China;
2. College of Geo-information Science and Engineering,
Shandong University of Science and Technology, Tai＇an 271019, China)
Shandong Agricultural University, Tai＇an 271018, China;
2. College of Geo-information Science and Engineering,
Shandong University of Science and Technology, Tai＇an 271019, China)
Abstract: Under minimum squared error (MSE) rule, discrete K-L transform (DKLT) was given. The 2nd information function, the 2nd information entropy and geometry entropy under DKLT were proposed, by which information characteristics of DKLT were metricized. Two new concepts of information rate (IR) and accumulated information rate (AIR) were proposed by which the degree of information feature compression of DKLT was illustrated.
Key words: information entropy; entropy function; DKLT; information characteristic; feature compression