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Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Much effort has been devoted to recovering sparse signals from one-bit measurements in recent years. However, it is still quite challenging to recover signals with high fidelity, which is desired in practical one-bit compressive sensing (1-bit CS) applications. We introduce the notion of Schur-concavity in this paper and propose to construct signals by taking advantage of Schur-Concave functions , which are capable of enhancing sparsity.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Although massive multiple-input multiple-output (MIMO) promises high spectral efficiency, there are several issues that significantly limit the potential gain of massive MIMO, such as severe inter-cell interference, huge channel state information (CSI) overhead/delay, high cost and power consumption of RF chains, and user fairness. 

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

The paper derives the stability bound of the initial mean-square deviation of an adaptive filtering algorithm based on minimizing the 2 L th moment of the estimation error, with L being an integer greater than 1. The analysis is done for a time-invariant plant with even input probability density function. Dependence of the stability bound on the algorithm step-size, type of the noise distribution, signal-to-noise ratio (SNR), and L is studied.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Sequential Monte Carlo (SMC) methods comprise one of the most successful approaches to approximate Bayesian filtering. However, SMC without a good proposal distribution can perform poorly, in particular in high dimensions. We propose nested sequential Monte Carlo, a methodology that generalizes the SMC framework by requiring only approximate, properly weighted, samples from the SMC proposal distribution, while still resulting in a correct SMC algorithm. 

Section: Publications & Resources

For our November 2014 issue, we cover recent patents granted in the area of Signal Processing for Big Data.

Section: Publications & Resources

Dear Members, - Are you an IEEE member, IEEE student member, IEEE graduate student member or IEEE young professional member? - Do you know one or more 12-18 year old students from within your family, friendship circle, or local school who is interested in engineering, computing, or technology? - Do you want to help students inspire others to learn more about these disciplines by creating an animation? Mentor one or more students today in the IEEE Spark Innovation through Animation Competition! The IEEE Educational Activities Board is delighted to announce an animation competition to excit

Section: Publications & Resources

IEEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society. Around this time (end of November), the new class of IEEE Fellows is announced. Hopefully, the list contains many names familiar to you. If not, then perhaps it is a good idea to nominate someone yourself!

Section: Publications & Resources

The IEEE Signal Processing Society (SPS) appointed several new Chairs for committees that report to the Membership Board.

Section: Publications & Resources

The Bio Imaging and Signal Processing (BIPS) Technical Committee updates this month on awards, past and future competitions and more

Section: Publications & Resources

In this series we aim to introduce society members and other experts of the signal processing field by means of interviews. This month, we are happy to present the Dr. Ercan E.