Past Events

Over the past few years there has been a rapidly growing interest in analysis, design and optimization of various types of collective behaviors in networked dynamic systems. Collective phenomena (such as flocking, schooling, rendezvous, synchronization, and agreement) have been studied in a diverse set of disciplines, ranging from computer graphics and statistical physics to distributed computation, and from robotics and control theory to social sciences and economics.

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Abstract: Wireless protocol design today is based on a simple model of howwireless channel behaves. This model does not capture the temporal andspatial correlations of packet reception that wireless linksexperience in reality. Unfortunately, moving beyond this model hasbeen difficult due to the lack of good ways to quantify wireless linkcomplexities.

Following Shannon's landmark paper, classical theoretical framework forcommunication is based on a simplifying assumption that all information isequally important and aims to provide a uniform protection to allinformation. However, this homogeneous view of information is not suitablefor a variety of modern-day communication scenarios such as wireless andsensor networks, video transmission, interactive systems, and controlapplications.

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Abstract: Flexibility and efficiency will be key design requirements for future communications transceivers. Systems must be reconfigurable and adaptable in order to minimize power and maximize throughput as environmental conditions and user requirements change. This lecture will present digital baseband architectures and design techniques to achieve these goals for several types of wireless communications systems, including multiple-carrier (OFDM), multiple-antenna (MIMO) and multiple-algorithm (SDR) systems.

We analyze a generalized method for harmonic analysis under oscillations called the Taylor-Fourier Transform (TFT). The TFT always has a lower error than the standard discrete Fourier transform (DFT) method. The TFT also: reduces inter-harmonic interference, has coefficients with physical meaning, locates transients in time, has maximally flat gains about each harmonic, and estimates position and derivates of each harmonic.We propose the use of the TFT in digital communication systems.Speaker Biography Antonio de la O Serna (SM03) received his Ph.D.

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Abstract: The analysis of very high dimensional data - data sets where the dimensionality of each observation is comparable to or even larger than the number of observations - has drawn increasing attention in the last few decades due to a broad array of applications, from DNA microarrays to video processing, to consumer preference modeling and collaborative filtering, and beyond. As we discuss, many of our tried-and-true statistical techniques fail in this regime.