KEYWORDS: Distortion, Steganography, Data hiding, Digital watermarking, Digital signal processing, Digital imaging, Algorithms, Signal processing, Databases, Electrical engineering
For any given digital host image or audio file (or group of hosts) and any (block) transform domain of interest,
we find an orthogonal set of signatures that achieves maximum sum-signal-to-interference-plus-noise ratio (sum-
SINR) spread-spectrum message embedding for any fixed embedding amplitude values. We also find the sumcapacity
optimal amplitude allocation scheme for any given total distortion budget under the assumption of
(colored) Gaussian transform-domain host data. The practical implication of the results is sum-SINR, sumcapacity
optimal multiuser/multisignature spread-spectrum data hiding in the same medium. Theoretically,
the findings establish optimality of the recently presented Gkizeli-Pados-Medley multisignature eigen-design
algorithm.
We consider the problem of signature waveform design for code division medium-access-control (MAC) of wireless
sensor networks (WSN). In contract to conventional randomly chosen orthogonal codes, an adaptive signature
design strategy is developed under the maximum pre-detection SINR (signal to interference plus noise ratio)
criterion. The proposed algorithm utilizes slowest descent cords of the optimization surface to move toward the
optimum solution and exhibits, upon eigenvector decomposition, linear computational complexity with respect
to signature length. Numerical and simulation studies demonstrate the performance of the proposed method
and offer comparisons with conventional signature code sets.
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