Most methods found in the literature fail to optimize the compromise existing in the digital watermarking (robustness, imperceptibility, and capacity).
Digital signaling enhances robustness of cellular decisions in noisy environments, but it is unclear how digital systems transmit temporal information about a stimulus.
This paper compares the two approaches based on pole sensitivity and the complex stability radius measures, respectively, for optimizing the closed-loop stability robustness of digital controllers with respect to finite word length (FWL) errors in fixed-point implementation.
In this study, the approach has been applied to analyze the robustness of digital watermark by filter bank selection and the performance can be improved in the aspect of speedup, stability and processing time.
In addition, GC-DRM has been applied to analyze the robustness of digital watermark by filter bank selection and the performance can be improved in the aspect of speedup, stability and processing time compared with NaradaBrokering based Computing Power Services (NB-CPS) and Web Services based Computing Power Service (WS-CPS).
The main requirements of digital watermarking are invisibility, robustness, and data capacity.
By using the features of digital content, the watermark robustness could be enhanced.
In our opinion, the robustness of digital watermark in a specific coding standard for annotation purposes may not be required.
In the mean time, it also provides the solution to acquire the best selection between watermark transparency and robustness for digital contents in different strategies/actions with complete information in the dynamic non-cooperative situations.
Overall, these results expand the repertoire of functions for digital signaling beyond increasing robustness to also facilitate multidimensional phenotype control based on temporal information in input signals.
Robustness and imperceptibility are two fundamental but contradicting properties in robust digital watermarking.
