TY  - JOUR
AB  - This paper presents an overview of three information‐theoretic methods, which have been used extensively in many areas such as signal/image processing, pattern recognition and statistical inference. These are: the maximum entropy (ME), minimum cross‐entropy (MCE) and mutual information (MI) methods. The development history of these techniques is reviewed, their essential philosophy is explained, and typical applications, supported by simulation results, are discussed.
VL  - 27
IS  - 3
SN  - 0368-492X
DO  - 10.1108/03684929810209478
UR  - https://doi.org/10.1108/03684929810209478
AU  - Papademetriou Rallis C.
PY  - 1998
Y1  - 1998/01/01
TI  - Data processing using information theory functionals
T2  - Kybernetes
PB  - MCB UP Ltd
SP  - 264
EP  - 272
Y2  - 2024/04/25
ER  -