December 2018

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10 years of news and resources for members of the IEEE Signal Processing Society

December 2018

A Chapter is required to report and file not less than two (2) technical meetings per year.  Changes to its roster of officers are to be submitted in a timely manner using electronic reporting tools provided by MGA.

The IEEE Signal Processing Society Malaysia Chapter has been selected as the recipient of the 2018 Chapter of the Year Award!

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.

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.

Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.

This study investigates various aspects of multi-speaker interference and its impact on speaker recognition. Single-channel multi-speaker speech signals (aka co-channel speech) comprise a significant portion of speech processing data. Examples of co-channel signals are recordings from multiple speakers in meetings, conversations, debates, etc.

Improving the modeling and processing of nonstationary signals remains an important yet challenging problem. In the past, the most effective approach for processing these signals has been statistical modeling.

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.

5G technology, with its promises of self-driving vehicles and immersive virtual reality, will be a data-hungry generation of wireless communications.

In the era of big data, analysts usually explore various statistical models or machine-learning methods for observed data to facilitate scientific discoveries or gain predictive power. Whatever data and fitting procedures are employed, a crucial step is to select the most appropriate model or method from a set of candidates.

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