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Section: Publications & Resources
We study the problem of distributed filtering for state space models over networks, which aims to collaboratively estimate the states by a network of nodes. Most of existing works on this problem assume that both process and measurement noises are Gaussian and their covariances are known in advance. In some cases, this assumption breaks down and no longer holds.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
This paper studies resilient distributed estimation under measurement attacks. A set of agents each makes successive local, linear, noisy measurements of an unknown vector field collected in a vector parameter. The local measurement models are heterogeneous across agents and may be locally unobservable for the unknown parameter.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
We consider the problem of decentralized consensus optimization, where the sum of n smooth and strongly convex functions are minimized over n distributed agents that form a connected network. In particular, we consider the case that the communicated local decision variables among nodes are quantized in order to alleviate the communication bottleneck in distributed optimization.
Section: Events
November 12-14, 2019
Early Registration Deadline: TBA
Location: Bangalore, India
Website
Issue Date:
Section: Community & Involvement
Data hiding is the science and art of imperceptibly embedding some secret data, e.g., marks or messages, into a host media. The secret data are detected and extracted at a receiving end for various purposes. Data hiding has been the topic of tremendous research efforts during the past decade from both academia and industry for a diverse range of applications such as media copyright protection, content authentication, digital rights management, media system monitoring, and covert communications.
Section: Publications & Resources
New enhancements to the display of Section and Chapter data are now available in the Geographic Map within OU Analytics. Boundaries have been expanded to incorporate additional Sections/Subsections not previously included.
Section: Publications & Resources
As a reminder for continuing chapter chairs and for incoming chapter chairs for 2019, we would like to highlight a valuable resource available to you. Launched last year was IEEE OU Analytics, a web-based business intelligence tool to deliver essential metrics on memberships or subscriptions to OUs...
Section: Publications & Resources
New and improved monthly statistics reports are now available containing enriched visual analytics dashboards that can be used for monthly trending. These comprehensive dashboards improve efficiency by allowing OUs to quickly access data that is relevant to them by OU, Region, Section, Grade, Division, etc.
Section: Publications & Resources
SPS has several programs to support its growing network of Chapters and Student Branch Chapters. Student Branch Chapters, in particular, have seen tremendous growth since 2016, an increase of 126% over the past three years, driven primarily by Student surges in Region 10.
I've recently inherited my father's audio software company, FxSound, and I'm looking to get a paid consultation on DSP and audio as it relates to our software.
We lost our audio and DSP engineer when my father passed, and I want to bring on a DSP/audio engineer to ensure that we're moving our product in the right direction and bringing real value to our customers.
