Evolutionary hidden information detection by granulation-based fitness approximation

Applied Soft Computing Journal

Volumn 10, Issue 3, 2010, Pages 719-729

  Davarynejad, M ^a   Ahn, C W ^b   Vrancken, J ^a   van den Berg, J ^a   Coello Coello, C A ^c  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b Sungkyunkwan University   (South Korea)

^c DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

Evolutionary algorithms; Fast hidden information detection; Fitness approximation; Fuzzy granulation; Watermarked signal

Indexed keywords

ADAPTIVE FUZZY; APPROXIMATE MODEL; AUDIO WATERMARKING; AUTO-TUNING ALGORITHMS; AUTOTUNING; CHIP PERIOD; COMPUTATIONAL COSTS; DETECTION PROBLEMS; EXPERIMENTAL ANALYSIS; FITNESS APPROXIMATION; FITNESS FUNCTIONS; FUZZY GRANULATION; FUZZY SUPERVISOR; HEURISTIC APPROACH; HIDDEN INFORMATION; HOST SIGNALS; IMAGE WATERMARKING; KEY ISSUES; PARAMETER DETERMINATION; PN SEQUENCE; PSEUDORANDOM NOISE SEQUENCES; RATE OF CONVERGENCE; SEARCH SPACES; SPREAD-SPECTRUM WATERMARKING; TUNING PARAMETER;

APPROXIMATION ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; FUZZY LOGIC; GRANULATION; HEALTH; SIGNAL RECEIVERS; SPECTROSCOPY; SPECTRUM ANALYSIS; SUPERVISORY PERSONNEL; TUNING; WATERMARKING;

SIGNAL DETECTION;

EID: 77649231434     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.09.001     Document Type: Article

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