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SmartData empowers personal data by wrapping it in a cloak of
intelligence such that it now becomes the individual's virtual
proxy in cyberspace. No longer will personal data be shared or
stored in the cloud as merely data, encrypted or otherwise; it will
now be stored and shared as a constituent of the binary string
specifying the entire SmartData agent. This agent proactively
builds-in privacy, security and user preferences, right from the
outset, not as an afterthought. SmartData: Privacy Meets
Evolutionary Robotics includes the advances made in the technology
of simulating virtual worlds, together with the ideas emerging from
fields of evolutionary robotics and embodied cognition within a
framework of dynamical systems as an approach toward this ultimate
goal. The book brings together top researchers in the field and
addresses current personal data privacy challenges in the
online-world.
Advances in digital signal processing algorithms and computer
technology have combined to produce real-time systems with
capabilities far beyond those of just few years ago. Nonlinear,
adaptive methods for signal processing have emerged to provide
better array gain performance, however, they lack the robustness of
conventional algorithms. The challenge remains to develop a concept
that exploits the advantages of both-a scheme that integrates these
methods in practical, real-time systems. The Advanced Signal
Processing Handbook helps you meet that challenge. Beyond offering
an outstanding introduction to the principles and applications of
advanced signal processing, it develops a generic processing
structure that takes advantage of the similarities that exist among
radar, sonar, and medical imaging systems and integrates
conventional and nonlinear processing schemes.
Blind image deconvolution is constantly receiving increasing
attention from the academic as well the industrial world due to
both its theoretical and practical implications. The field of blind
image deconvolution has several applications in different areas
such as image restoration, microscopy, medical imaging, biological
imaging, remote sensing, astronomy, nondestructive testing,
geophysical prospecting, and many others. Blind Image
Deconvolution: Theory and Applications surveys the current state of
research and practice as presented by the most recognized experts
in the field, thus filling a gap in the available literature on
blind image deconvolution. Explore the gamut of blind image
deconvolution approaches and algorithms that currently exist and
follow the current research trends into the future. This
comprehensive treatise discusses Bayesian techniques, single- and
multi-channel methods, adaptive and multi-frame techniques, and a
host of applications to multimedia processing, astronomy, remote
sensing imagery, and medical and biological imaging at the
whole-body, small-part, and cellular levels. Everything you need to
step into this dynamic field is at your fingertips in this unique,
self-contained masterwork. For image enhancement and restoration
without a priori information, turn to Blind Image Deconvolution:
Theory and Applications for the knowledge and techniques you need
to tackle real-world problems.
SmartData empowers personal data by wrapping it in a cloak of
intelligence such that it now becomes the individual's virtual
proxy in cyberspace. No longer will personal data be shared or
stored in the cloud as merely data, encrypted or otherwise; it will
now be stored and shared as a constituent of the binary string
specifying the entire SmartData agent. This agent proactively
builds-in privacy, security and user preferences, right from the
outset, not as an afterthought. SmartData: Privacy Meets
Evolutionary Robotics includes the advances made in the technology
of simulating virtual worlds, together with the ideas emerging from
fields of evolutionary robotics and embodied cognition within a
framework of dynamical systems as an approach toward this ultimate
goal. The book brings together top researchers in the field and
addresses current personal data privacy challenges in the
online-world.
The demand for information security professionals and applications
has been one of the fastest growing markets internationally. This
book is addressed to professionals, students, researchers and
engineers interested in theory and applications of multimedia
security. By exploring the ideas of fragile fingerprinting and
non-perfect secret sharing, the authors take a fresh approach to
1.Deliver a framework for Joint fingerprinting and decryption (JFD)
in multicast environments with focus on traitor tracing.
2.Introduce methodologies for constructing collusion resistant
semi-fragile fingerprints. 3.Provide efficient and illustrative
algorithms for construction of anti-collusion codes (ACC) (a) By
Edge coloring, (b) Using Hadamard 2-designs. 4.Explore the
multi-faceted nature of a non-perfect secret sharing algorithm
called MIX-SPLIT and its properties of Association, Inheritance,
Anonymity with traceability and Closure. 5.Present several
practical application scenarios such as the protection and tracking
of highly sensitive medical records, selective access of strategic
maps and distributed secure storage of biometric PINs.
Advances in digital signal processing algorithms and computer
technology have combined to produce real-time systems with
capabilities far beyond those of just few years ago. Nonlinear,
adaptive methods for signal processing have emerged to provide
better array gain performance, however, they lack the robustness of
conventional algorithms. The challenge remains to develop a concept
that exploits the advantages of both-a scheme that integrates these
methods in practical, real-time systems. The Advanced Signal
Processing Handbook helps you meet that challenge. Beyond offering
an outstanding introduction to the principles and applications of
advanced signal processing, it develops a generic processing
structure that takes advantage of the similarities that exist among
radar, sonar, and medical imaging systems and integrates
conventional and nonlinear processing schemes.
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