Extracting Spread-Spectrum Hidden Data from Digital Media - 2013 PROJECT TITLE :Extracting Spread-Spectrum Hidden Data from Digital Media - 2013ABSTRACT:We consider the problem of extracting blindly data embedded over a wide band in a spectrum (transform) domain of a digital medium (image, audio, video). We develop a novel multicarrier/signature iterative generalized least-squares (M-IGLS) core procedure to seek unknown data hidden in hosts via multicarrier spread-spectrum embedding. Neither the original host nor the embedding carriers are assumed available. Experimental studies on images show that the developed algorithm can achieve recovery probability of error close to what may be attained with known embedding carriers and host autocorrelation matrix. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Exploiting Cooperative Relay for High Performance Communications in MIMO Ad Hoc Networks - 2013 Harvesting-Aware Energy Management for Time-Critical Wireless Sensor Networks With Joint Voltage and Modulation Scaling - 2013