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This free toolbox provides MATLAB functions and demonstrations for statistical modeling and mitigation of certain kinds of noise and interference in acoustic systems, power lines, wireless communications and wireless sensor networks.
The noise and interference can come from other sources in the same frequency band of operation or in adjacent frequency bands. The toolbox enables a user to
In communication systems, additive noise has traditionally been assumed to be Gaussian. Redesigning the communication receiver with an impulsive noise model in mind can achieve a 10x-100x reduction in bit error rate or an increase of up to 2x in bit rate in interference-limited channels. The toolbox supports single- and multiple-antenna systems.
For wireless networks, we have shown analytically that
The toolbox supports the symmetric alpha stable distribution, Gaussian mixture model, and Middleton Class A distribution. The Middleton Class A distribution is a special case of a Gaussian mixture model.
The toolbox is available free of charge at
|Election of President-Elect, Regional Directors-at-Large and Members-at-Large||1 October 2021|
|Meet the 2021 Candidates: IEEE President-Elect||1 October 2021|
|Call for Nominations for Editor-in-Chief, Open Journal of Signal Processing||1 October 2021|
|Call for Nominations: SPS Chapter of the Year Award||15 October 2021|
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