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High-Fidelity Spatial Signal Processing in Low-Power Mixed-Signal VLSI Arrays
Machine learning and related statistical signal processing are expected to endow sensor networks with adaptive machine intelligence and greatly facilitate the Internet of Things (IoT). As such, architectures embedding adaptive and learning algorithms on-chip are oft-ignored by system architects and design engineers, and present a new set of design trade-offs.
Malaysia Chapter Receives the 2018 Chapter of the Year Award!
The IEEE Signal Processing Society Malaysia Chapter has been selected as the recipient of the 2018 Chapter of the Year Award!
Now’s the Time to Think About What Comes After 5G
5G technology, with its promises of self-driving vehicles and immersive virtual reality, will be a data-hungry generation of wireless communications.
Model Selection Techniques: An overview
In the era of big data, analysts usually explore various statistical models or machine-learning methods for observed data to facilitate scientific…
Read moreSilicon Photonics-Special Issue of Proceedings of the IEEE
This month's special issue of Proceedings of the IEEE provides a state-of-the-art overview of the field of silicon photonics, which is making a significant impact on fiber-optic communications and spreading to new areas such as sensors and deep learning.
New MD Kit Portal - Custom Orders Now Available
A new online portal is available for ordering Membership Development (MD) materials. Volunteers now have the ability to customize the quantities and items included to support in recruiting new members, retaining those whose membership has lapsed, and recovering former members.
Student Activities Committee - Changes in the Operations Manual, Section 9.4
Student Branch Connection
Attn: Section Chairs, Section Student Activities Chairs, and Section Student Representatives
Below are the actions that have been approved by the MGA Board in relation to the Section - Student Branch Connection.
OU Analytics User Group
The OU Analytics tool provides IEEE volunteer access to member data. It replaces SAMIEEE which was sunset in May. The OU Analytics User Group was formed to facilitate discussions among users, identify the top issues affecting user productivity, and provide a communication path between users and IEEE staff working to improve OU Analytics.
Inactive Chapters
Please be advised that IEEE gauges the vitality of an OU by tracking how many meetings are reported during the year through vTools. If an OU reports "0" meetings for three consecutive years the OU/Chapter is placed on a dissolution list that is reviewed at the November Board Meeting.
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