TY - JOUR
T1 - Data processing using information theory functionals
AU - Papademetriou, Rallis C.
PY - 1998/4/1
Y1 - 1998/4/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=0032385524&partnerID=8YFLogxK
U2 - 10.1108/03684929810209478
DO - 10.1108/03684929810209478
M3 - Article
AN - SCOPUS:0032385524
VL - 27
SP - 264
EP - 272
JO - Kybernetes: The International Journal of Systems & Cybernetics
JF - Kybernetes: The International Journal of Systems & Cybernetics
SN - 0368-492X
IS - 3
ER -